Visualización del Entrenamiento de una Red Neuronal
Contents
Visualización del Entrenamiento de una Red Neuronal#
Introducción#
Hasta este punto, sabemos los resultados de una red neuronal, pero ¿sabemos qué ocurre en el proceso de entrenamiento de manera visual?
La idea de este Notebook es generar una animación de la red neuronal mientras se entrena para mejorar la intuición del funcionamiento interno de estos modelos.
Para esto, necesitaremos:
Librerías de IA
Librerías de Animación
También usaremos los widgets de JupyterLab para mejorar la interactividad del contacto con imágenes generadas.
# Librería para manejo de tensores
import tensorflow as tf
# API para AI sobre motor de tensores (tensorflow)
from tensorflow import keras
# Manejo de arreglos
import numpy as np
# Manejo de DataFrames
import pandas as pd
# Dibujos matplotlib
import matplotlib.pyplot as plt
# Dibujos en seaborn
#import seaborn as sns
#Hacer Animación
from matplotlib.animation import FuncAnimation
# Escribir en gif, mp4, etc...
from matplotlib import animation
# Sacar animación en una ventana aparte
%matplotlib widget
from IPython import display
Generación de Datos#
Para este ejemplo sencillo, haremos un ejercicio de simulación.
# Genera datos espaciados uniformemente
x=np.linspace(-10,10,100)
# Modelo generado a partir de las entradas ax^3+bx+ϵ
y=2*x**3+3*x+5*np.random.normal(0,50,size=len(x))
# Generar Lienzo
plt.close('all')
fig = plt.figure(figsize=(6,7))
plt.plot(x,y,'o',markeredgecolor='k',markeredgewidth=0.5)
plt.grid(alpha=0.3)
plt.xlabel('$x$',fontsize=15)
plt.ylabel('$y$',rotation=0,fontsize=15)
plt.title('Datos Simulados')
plt.legend(['Datos']);
Separación de Datos#
Es buena práctica separar el conjunto de datos en:
Datos de Entrenamiento
Datos de Validación
Datos Test
from sklearn.model_selection import train_test_split
# Tamaño del conjunto Test
test_size = 0.30
# Separación del Dataset
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=test_size, random_state=42)
# Forma de los Datos Resultantes
print("Forma de Train:", x_train.shape)
print("Forma de Test :",x_test.shape)
# Generar Lienzo
plt.close('all')
fig = plt.figure(figsize=(6,7))
plt.grid(alpha=0.3)
# Dibujar train
plt.plot(x_train,y_train,'o',markeredgecolor='k',markeredgewidth=0.5)
# Dibujar test
plt.plot(x_test,y_test,'ro',markeredgecolor='k',markeredgewidth=0.5)
# Etiquetas de los Ejes
plt.xlabel('$x$',fontsize=15)
plt.ylabel('$y$',rotation=0,fontsize=15)
# Leyendas
plt.legend([f'Train ({(1-test_size)*100}%)',f'Test ({(test_size)*100}%)'])
plt.title('Datos Simulados');
Forma de Train: (70,)
Forma de Test : (30,)
Creación de Modelos#
Modelo sin Activaciones#
Para ilustrar lo lineal de un modelo simple (sin funciones de activación), miremos qué pasa cuando tenemos una red con una única neurona:
# Arquitectura del Modelo
model = keras.Sequential(
# Una capa densa, 1 neurona, 1 variable de entrada
keras.layers.Dense(units=1,input_shape=(1,))
)
# Compilación del Modelo usando optimizador y pérdida
model.compile(optimizer='sgd', loss='mean_squared_error')
# Resumen del Modelo (Parámetros, etc)
model.summary()
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 1) 2
=================================================================
Total params: 2
Trainable params: 2
Non-trainable params: 0
_________________________________________________________________
n_iter=100
predecir=np.zeros((n_iter+1,len(x_train)))
predecir[0,:]=model.predict(sorted(x_train)).reshape(1,-1)
for i in range(n_iter):
# Entrenar 1 epoch
model.fit(x_train, y_train, epochs=1,verbose=1,validation_split=0.1)
# Predecir puntos en ese estado
predecir[i+1,:]=model.predict(sorted(x_train)).reshape(1,-1)
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 567929.5625
2/2 [==============================] - 1s 267ms/step - loss: 448916.0000 - val_loss: 139567.7812
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 128316.8594
2/2 [==============================] - 0s 99ms/step - loss: 143269.4844 - val_loss: 167789.7500
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 157574.3281
2/2 [==============================] - 0s 94ms/step - loss: 149295.2969 - val_loss: 170195.3438
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 168103.5312
2/2 [==============================] - 0s 94ms/step - loss: 138957.9844 - val_loss: 156360.0156
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 119883.4609
2/2 [==============================] - 0s 121ms/step - loss: 135188.9062 - val_loss: 152506.2656
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 148998.2656
2/2 [==============================] - 0s 94ms/step - loss: 134352.0469 - val_loss: 150554.5312
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 115950.0625
2/2 [==============================] - 0s 95ms/step - loss: 134351.2031 - val_loss: 151048.3594
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 117837.0000
2/2 [==============================] - 0s 98ms/step - loss: 140607.2344 - val_loss: 139360.2656
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 172868.3906
2/2 [==============================] - 0s 122ms/step - loss: 134807.3594 - val_loss: 146877.5781
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 172614.8281
2/2 [==============================] - 0s 91ms/step - loss: 134396.1562 - val_loss: 146734.5469
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 119003.2031
2/2 [==============================] - 0s 112ms/step - loss: 134564.9844 - val_loss: 151872.9062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 115545.3359
2/2 [==============================] - 0s 106ms/step - loss: 135857.5469 - val_loss: 142922.1094
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 84546.6953
2/2 [==============================] - 0s 129ms/step - loss: 135630.2344 - val_loss: 155105.5000
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 142442.3438
2/2 [==============================] - 0s 112ms/step - loss: 142178.0312 - val_loss: 136969.0312
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 130803.8984
2/2 [==============================] - 0s 120ms/step - loss: 135669.9062 - val_loss: 153001.7656
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 131184.7812
2/2 [==============================] - 0s 96ms/step - loss: 149556.4375 - val_loss: 134479.0469
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 117742.9297
2/2 [==============================] - 0s 104ms/step - loss: 139692.6406 - val_loss: 160146.5781
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 133453.5938
2/2 [==============================] - 0s 103ms/step - loss: 135265.0000 - val_loss: 151843.0938
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 158081.9688
2/2 [==============================] - 0s 94ms/step - loss: 134101.9688 - val_loss: 148726.2656
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 5ms/step
1/2 [==============>...............] - ETA: 0s - loss: 144637.5312
2/2 [==============================] - 0s 84ms/step - loss: 135602.9688 - val_loss: 143609.9688
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 5ms/step
1/2 [==============>...............] - ETA: 0s - loss: 148194.6094
2/2 [==============================] - 0s 110ms/step - loss: 138667.8438 - val_loss: 161164.8906
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 106206.7812
2/2 [==============================] - 0s 88ms/step - loss: 146892.0938 - val_loss: 136728.0781
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 148316.4375
2/2 [==============================] - 0s 111ms/step - loss: 136498.4844 - val_loss: 155103.7031
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 149723.6406
2/2 [==============================] - 0s 98ms/step - loss: 135764.0625 - val_loss: 143059.4531
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 112374.1328
2/2 [==============================] - 0s 112ms/step - loss: 134412.4375 - val_loss: 146771.9062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 123939.7656
2/2 [==============================] - 0s 104ms/step - loss: 138314.2812 - val_loss: 140546.7656
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 107494.4766
2/2 [==============================] - 0s 94ms/step - loss: 142555.6406 - val_loss: 166197.5938
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 119838.6562
2/2 [==============================] - 0s 151ms/step - loss: 137236.9844 - val_loss: 142137.5000
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 135906.9844
2/2 [==============================] - 0s 77ms/step - loss: 136157.0938 - val_loss: 157184.4062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 146239.6875
2/2 [==============================] - 0s 94ms/step - loss: 134473.5781 - val_loss: 150043.7812
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 144995.2969
2/2 [==============================] - 0s 88ms/step - loss: 134735.1094 - val_loss: 152660.2031
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 132646.8438
2/2 [==============================] - 0s 106ms/step - loss: 136720.5781 - val_loss: 159706.6250
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 78598.6484
2/2 [==============================] - 0s 102ms/step - loss: 135586.7188 - val_loss: 144075.6094
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 153927.0156
2/2 [==============================] - 0s 107ms/step - loss: 135897.4531 - val_loss: 144743.3125
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 160895.9062
2/2 [==============================] - 0s 79ms/step - loss: 140479.5625 - val_loss: 161890.5156
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 10ms/step
1/2 [==============>...............] - ETA: 0s - loss: 179875.8750
2/2 [==============================] - 0s 95ms/step - loss: 135509.1562 - val_loss: 144599.7031
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 171876.6875
2/2 [==============================] - 0s 136ms/step - loss: 136594.6094 - val_loss: 157236.5469
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 153495.6875
2/2 [==============================] - 0s 110ms/step - loss: 134835.7812 - val_loss: 145564.1406
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 148212.4688
2/2 [==============================] - 0s 101ms/step - loss: 144966.4219 - val_loss: 171122.6250
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 110869.5625
2/2 [==============================] - 0s 94ms/step - loss: 139531.6562 - val_loss: 140159.3281
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 85413.2031
2/2 [==============================] - 0s 94ms/step - loss: 138184.9844 - val_loss: 161190.6406
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 139536.3438
2/2 [==============================] - 0s 87ms/step - loss: 137370.7812 - val_loss: 157565.5938
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 173115.6094
2/2 [==============================] - 0s 94ms/step - loss: 136943.4844 - val_loss: 158140.0312
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 5ms/step
1/2 [==============>...............] - ETA: 0s - loss: 159411.4688
2/2 [==============================] - 0s 74ms/step - loss: 134383.1406 - val_loss: 148258.9844
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 131084.6094
2/2 [==============================] - 0s 94ms/step - loss: 134381.4375 - val_loss: 151172.9688
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 116270.7656
2/2 [==============================] - 0s 94ms/step - loss: 137205.0000 - val_loss: 141961.4219
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 132866.1406
2/2 [==============================] - 0s 103ms/step - loss: 134446.3906 - val_loss: 150892.9062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 139622.3125
2/2 [==============================] - 0s 212ms/step - loss: 145323.3281 - val_loss: 172625.3281
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 138871.6250
2/2 [==============================] - 0s 199ms/step - loss: 139035.9375 - val_loss: 141096.6094
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 139287.2188
2/2 [==============================] - 0s 172ms/step - loss: 141452.1250 - val_loss: 165629.9062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 140422.2812
2/2 [==============================] - 0s 110ms/step - loss: 136842.5156 - val_loss: 155493.0781
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 148730.0781
2/2 [==============================] - 0s 122ms/step - loss: 135360.8438 - val_loss: 154036.8281
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 125736.4688
2/2 [==============================] - 0s 126ms/step - loss: 134988.1719 - val_loss: 153930.3594
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 115777.7812
2/2 [==============================] - 0s 110ms/step - loss: 139986.0312 - val_loss: 138553.6406
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 139342.9219
2/2 [==============================] - 0s 105ms/step - loss: 135307.4375 - val_loss: 146223.9844
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 108460.5312
2/2 [==============================] - 0s 111ms/step - loss: 134249.8438 - val_loss: 147244.4531
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 103607.4375
2/2 [==============================] - 0s 94ms/step - loss: 148693.6719 - val_loss: 177631.7500
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 3ms/step
1/2 [==============>...............] - ETA: 0s - loss: 124855.6484
2/2 [==============================] - 0s 110ms/step - loss: 137776.7031 - val_loss: 153478.9062
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 152312.1250
2/2 [==============================] - 0s 220ms/step - loss: 134867.5625 - val_loss: 145402.9219
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 135506.2500
2/2 [==============================] - 0s 126ms/step - loss: 138176.6094 - val_loss: 163005.9844
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 128640.0000
2/2 [==============================] - 0s 109ms/step - loss: 139805.1094 - val_loss: 161329.3594
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 8ms/step
1/2 [==============>...............] - ETA: 0s - loss: 149148.2344
2/2 [==============================] - 0s 126ms/step - loss: 135339.3281 - val_loss: 145099.1406
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 138575.4844
2/2 [==============================] - 0s 126ms/step - loss: 139491.1250 - val_loss: 164534.7031
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 107517.7344
2/2 [==============================] - 0s 96ms/step - loss: 143857.1094 - val_loss: 169703.4844
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 119803.8438
2/2 [==============================] - 0s 90ms/step - loss: 141279.7812 - val_loss: 139080.9531
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 151881.4844
2/2 [==============================] - 0s 63ms/step - loss: 158054.3750 - val_loss: 134414.9844
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 138421.9062
2/2 [==============================] - 0s 63ms/step - loss: 139869.7188 - val_loss: 142224.3906
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 0s/step
1/2 [==============>...............] - ETA: 0s - loss: 142311.4688
2/2 [==============================] - 0s 60ms/step - loss: 135976.8125 - val_loss: 144210.8594
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 4ms/step
1/2 [==============>...............] - ETA: 0s - loss: 111218.8438
2/2 [==============================] - 0s 72ms/step - loss: 134588.0312 - val_loss: 146979.0156
1/3 [=========>....................] - ETA: 0s
3/3 [==============================] - 0s 5ms/step
1/2 [==============>...............] - ETA: 0s - loss: 111197.5312
def animate(i):
if i<n_iter:
line.set_ydata(predecir[i,:])
fig = plt.figure(figsize=(12,5))
axes = fig.add_subplot(1,2,1)
plt.plot(x_train,y_train,'bo',scaley=True, scalex=True)
plt.plot(x_test,y_test,'ro',scaley=True, scalex=True,alpha=0.3)
line, = axes.plot(sorted(x_train), predecir[0,:], 'r-')
# Animación
ani = FuncAnimation(fig=fig, func=animate, interval=100)
# Visualización de Modelo para Datos Test
axes2 = fig.add_subplot(1,2,2)
predecir_test = model.predict(sorted(x_test),verbose=0).reshape(-1)
plt.plot(x_train,y_train,'bo',scaley=True, scalex=True,alpha=0.1)
plt.plot(x_test,y_test,'ro',scaley=True, scalex=True)
plt.plot(sorted(x_test),predecir_test,'r--',scaley=True, scalex=True)
# Etiquetas de los Ejes
plt.xlabel('$x$',fontsize=15)
plt.ylabel('$y$',rotation=0,fontsize=15)
# Leyendas
plt.legend(['Train','Test','Red Neuronal'])
plt.title('Modelo Resultante para Test');
# Video para renderizar
video = ani.to_html5_video()
html = display.HTML(video)
display.display(html)
plt.close()
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
c:\Users\User\OneDrive\Documentos\Libro-Fundamentos-main\Redes_Neuronales\Cuadernos\NN_Animation2.ipynb Celda 17 in <cell line: 27>()
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation2.ipynb#ch0000016?line=23'>24</a> plt.title('Modelo Resultante para Test');
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation2.ipynb#ch0000016?line=25'>26</a> # Video para renderizar
---> <a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation2.ipynb#ch0000016?line=26'>27</a> video = ani.to_html5_video()
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation2.ipynb#ch0000016?line=27'>28</a> html = display.HTML(video)
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation2.ipynb#ch0000016?line=28'>29</a> display.display(html)
File c:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\animation.py:1264, in Animation.to_html5_video(self, embed_limit)
1261 path = Path(tmpdir, "temp.m4v")
1262 # We create a writer manually so that we can get the
1263 # appropriate size for the tag
-> 1264 Writer = writers[mpl.rcParams['animation.writer']]
1265 writer = Writer(codec='h264',
1266 bitrate=mpl.rcParams['animation.bitrate'],
1267 fps=1000. / self._interval)
1268 self.save(str(path), writer=writer)
File c:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\animation.py:151, in MovieWriterRegistry.__getitem__(self, name)
149 if self.is_available(name):
150 return self._registered[name]
--> 151 raise RuntimeError(f"Requested MovieWriter ({name}) not available")
RuntimeError: Requested MovieWriter (ffmpeg) not available
Modelo con Activaciones y Profundidad#
model2 = tf.keras.Sequential([
# 4 Capas densas con función de activación
keras.layers.Dense(units=5,input_shape=(1,),activation='softplus'),
keras.layers.Dense(units=10,activation='softplus'),
keras.layers.Dense(units=20,activation='softplus'),
keras.layers.Dense(units=1)
])
model2.compile(optimizer='adam', loss='mean_squared_error')
model2.summary()
Model: "sequential_3"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_3 (Dense) (None, 5) 10
dense_4 (Dense) (None, 10) 60
dense_5 (Dense) (None, 20) 220
dense_6 (Dense) (None, 1) 21
=================================================================
Total params: 311
Trainable params: 311
Non-trainable params: 0
_________________________________________________________________
n_iter=100
predecir2=np.zeros((n_iter+1,len(x_train)))
predecir2[0,:]=model2.predict(sorted(x_train)).reshape(1,-1)
for i in range(n_iter):
model2.fit(x_train, y_train, epochs=30,verbose=1,validation_split=0.1)
predecir2[i+1,:]=model2.predict(sorted(x_train)).reshape(1,-1)
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 1s 290ms/step - loss: 773066.6250 - val_loss: 537425.3750
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 772988.6875 - val_loss: 537363.9375
Epoch 3/30
2/2 [==============================] - 0s 48ms/step - loss: 772912.8750 - val_loss: 537303.9375
Epoch 4/30
2/2 [==============================] - 0s 48ms/step - loss: 772841.3750 - val_loss: 537244.3750
Epoch 5/30
2/2 [==============================] - 0s 53ms/step - loss: 772764.3125 - val_loss: 537184.9375
Epoch 6/30
2/2 [==============================] - 0s 47ms/step - loss: 772688.0625 - val_loss: 537126.2500
Epoch 7/30
2/2 [==============================] - 0s 50ms/step - loss: 772616.9375 - val_loss: 537068.0000
Epoch 8/30
2/2 [==============================] - 0s 49ms/step - loss: 772540.1875 - val_loss: 537010.0625
Epoch 9/30
2/2 [==============================] - 0s 53ms/step - loss: 772472.5000 - val_loss: 536950.6875
Epoch 10/30
2/2 [==============================] - 0s 50ms/step - loss: 772390.1875 - val_loss: 536891.6875
Epoch 11/30
2/2 [==============================] - 0s 44ms/step - loss: 772317.5625 - val_loss: 536831.3125
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 772238.4375 - val_loss: 536769.0625
Epoch 13/30
2/2 [==============================] - 0s 47ms/step - loss: 772153.0000 - val_loss: 536705.8750
Epoch 14/30
2/2 [==============================] - 0s 42ms/step - loss: 772076.1875 - val_loss: 536640.4375
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 771990.5625 - val_loss: 536573.1875
Epoch 16/30
2/2 [==============================] - 0s 45ms/step - loss: 771901.9375 - val_loss: 536504.6875
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 771812.5625 - val_loss: 536435.5000
Epoch 18/30
2/2 [==============================] - 0s 47ms/step - loss: 771719.1250 - val_loss: 536363.5000
Epoch 19/30
2/2 [==============================] - 0s 48ms/step - loss: 771628.8750 - val_loss: 536289.4375
Epoch 20/30
2/2 [==============================] - 0s 50ms/step - loss: 771520.2500 - val_loss: 536213.8750
Epoch 21/30
2/2 [==============================] - 0s 48ms/step - loss: 771424.4375 - val_loss: 536136.0000
Epoch 22/30
2/2 [==============================] - 0s 49ms/step - loss: 771311.3750 - val_loss: 536054.9375
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 771199.8750 - val_loss: 535970.5000
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 771091.1875 - val_loss: 535881.4375
Epoch 25/30
2/2 [==============================] - 0s 53ms/step - loss: 770966.9375 - val_loss: 535788.8125
Epoch 26/30
2/2 [==============================] - 0s 46ms/step - loss: 770833.1875 - val_loss: 535693.5625
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 770701.0625 - val_loss: 535594.5625
Epoch 28/30
2/2 [==============================] - 0s 43ms/step - loss: 770589.1875 - val_loss: 535488.8125
Epoch 29/30
2/2 [==============================] - 0s 44ms/step - loss: 770428.4375 - val_loss: 535380.9375
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 770299.3125 - val_loss: 535267.0625
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 103ms/step - loss: 770144.0000 - val_loss: 535147.8750
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 769981.8750 - val_loss: 535023.3750
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 769819.3125 - val_loss: 534892.4375
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 769625.8750 - val_loss: 534757.5000
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 769449.8750 - val_loss: 534615.4375
Epoch 6/30
2/2 [==============================] - 0s 43ms/step - loss: 769270.2500 - val_loss: 534465.6875
Epoch 7/30
2/2 [==============================] - 0s 49ms/step - loss: 769077.1875 - val_loss: 534309.4375
Epoch 8/30
2/2 [==============================] - 0s 42ms/step - loss: 768873.7500 - val_loss: 534146.8750
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 768636.0625 - val_loss: 533978.4375
Epoch 10/30
2/2 [==============================] - 0s 34ms/step - loss: 768412.0625 - val_loss: 533802.6875
Epoch 11/30
2/2 [==============================] - 0s 34ms/step - loss: 768203.4375 - val_loss: 533617.3750
Epoch 12/30
2/2 [==============================] - 0s 33ms/step - loss: 767938.1875 - val_loss: 533425.4375
Epoch 13/30
2/2 [==============================] - 0s 32ms/step - loss: 767701.6875 - val_loss: 533224.5625
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 767449.7500 - val_loss: 533013.5000
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 767152.1250 - val_loss: 532797.1250
Epoch 16/30
2/2 [==============================] - 0s 73ms/step - loss: 766860.9375 - val_loss: 532570.0625
Epoch 17/30
2/2 [==============================] - 0s 50ms/step - loss: 766563.1250 - val_loss: 532332.1250
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 766271.5625 - val_loss: 532083.3125
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 765947.0625 - val_loss: 531823.6875
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 765611.8125 - val_loss: 531552.0000
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 765249.5000 - val_loss: 531269.0625
Epoch 22/30
2/2 [==============================] - 0s 46ms/step - loss: 764872.8125 - val_loss: 530977.0625
Epoch 23/30
2/2 [==============================] - 0s 41ms/step - loss: 764508.9375 - val_loss: 530668.3750
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 764122.0625 - val_loss: 530345.0000
Epoch 25/30
2/2 [==============================] - 0s 43ms/step - loss: 763727.8750 - val_loss: 530008.6875
Epoch 26/30
2/2 [==============================] - 0s 38ms/step - loss: 763243.2500 - val_loss: 529663.6875
Epoch 27/30
2/2 [==============================] - 0s 38ms/step - loss: 762850.7500 - val_loss: 529297.5625
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 762334.5625 - val_loss: 528921.8125
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 761859.1875 - val_loss: 528529.0625
Epoch 30/30
2/2 [==============================] - 0s 47ms/step - loss: 761341.3125 - val_loss: 528123.1875
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 1s 569ms/step - loss: 760841.8750 - val_loss: 527698.7500
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 760314.7500 - val_loss: 527255.0625
Epoch 3/30
2/2 [==============================] - 0s 37ms/step - loss: 759791.2500 - val_loss: 526791.8750
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 759144.3750 - val_loss: 526318.9375
Epoch 5/30
2/2 [==============================] - 0s 32ms/step - loss: 758579.1875 - val_loss: 525828.0625
Epoch 6/30
2/2 [==============================] - 0s 35ms/step - loss: 757972.0000 - val_loss: 525315.6250
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 757321.8125 - val_loss: 524785.6250
Epoch 8/30
2/2 [==============================] - 0s 42ms/step - loss: 756640.8125 - val_loss: 524239.4375
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 755984.7500 - val_loss: 523669.2812
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 755260.6250 - val_loss: 523082.2188
Epoch 11/30
2/2 [==============================] - 0s 41ms/step - loss: 754497.5000 - val_loss: 522479.1875
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 753792.1250 - val_loss: 521848.8125
Epoch 13/30
2/2 [==============================] - 0s 36ms/step - loss: 752976.8125 - val_loss: 521203.9375
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 752118.3750 - val_loss: 520542.2188
Epoch 15/30
2/2 [==============================] - 0s 38ms/step - loss: 751311.8750 - val_loss: 519854.0625
Epoch 16/30
2/2 [==============================] - 0s 49ms/step - loss: 750498.0625 - val_loss: 519134.7188
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 749630.5000 - val_loss: 518389.0312
Epoch 18/30
2/2 [==============================] - 0s 48ms/step - loss: 748727.3750 - val_loss: 517618.2500
Epoch 19/30
2/2 [==============================] - 0s 44ms/step - loss: 747777.1875 - val_loss: 516824.2812
Epoch 20/30
2/2 [==============================] - 0s 38ms/step - loss: 746784.5000 - val_loss: 516007.3438
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 745717.0625 - val_loss: 515172.2188
Epoch 22/30
2/2 [==============================] - 0s 48ms/step - loss: 744698.6875 - val_loss: 514311.4375
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 743575.7500 - val_loss: 513437.1875
Epoch 24/30
2/2 [==============================] - 0s 42ms/step - loss: 742489.0000 - val_loss: 512540.8438
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 741475.1250 - val_loss: 511597.7500
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 740401.8125 - val_loss: 510618.0625
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 739145.7500 - val_loss: 509616.8438
Epoch 28/30
2/2 [==============================] - 0s 63ms/step - loss: 737946.4375 - val_loss: 508594.0625
Epoch 29/30
2/2 [==============================] - 0s 56ms/step - loss: 736574.8750 - val_loss: 507553.1562
Epoch 30/30
2/2 [==============================] - 0s 54ms/step - loss: 735489.6250 - val_loss: 506460.1562
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 77ms/step - loss: 734120.1250 - val_loss: 505343.2188
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 732785.1250 - val_loss: 504196.9375
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 731182.7500 - val_loss: 503048.6562
Epoch 4/30
2/2 [==============================] - 0s 37ms/step - loss: 730015.6250 - val_loss: 501832.2500
Epoch 5/30
2/2 [==============================] - 0s 38ms/step - loss: 728375.2500 - val_loss: 500604.7500
Epoch 6/30
2/2 [==============================] - 0s 43ms/step - loss: 726881.7500 - val_loss: 499340.4062
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 725395.9375 - val_loss: 498031.0312
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 723720.6250 - val_loss: 496698.3438
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 722091.4375 - val_loss: 495329.3125
Epoch 10/30
2/2 [==============================] - 0s 42ms/step - loss: 720468.3750 - val_loss: 493919.0000
Epoch 11/30
2/2 [==============================] - 0s 38ms/step - loss: 718801.8750 - val_loss: 492462.2188
Epoch 12/30
2/2 [==============================] - 0s 40ms/step - loss: 717071.1250 - val_loss: 490963.8438
Epoch 13/30
2/2 [==============================] - 0s 38ms/step - loss: 715324.9375 - val_loss: 489418.9375
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 713572.3125 - val_loss: 487830.3438
Epoch 15/30
2/2 [==============================] - 0s 36ms/step - loss: 711531.1875 - val_loss: 486226.9375
Epoch 16/30
2/2 [==============================] - 0s 31ms/step - loss: 709609.7500 - val_loss: 484588.8438
Epoch 17/30
2/2 [==============================] - 0s 39ms/step - loss: 707768.4375 - val_loss: 482895.0625
Epoch 18/30
2/2 [==============================] - 0s 31ms/step - loss: 705701.0625 - val_loss: 481170.0625
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 703653.7500 - val_loss: 479409.7188
Epoch 20/30
2/2 [==============================] - 0s 33ms/step - loss: 701510.4375 - val_loss: 477618.7188
Epoch 21/30
2/2 [==============================] - 0s 33ms/step - loss: 699164.6250 - val_loss: 475806.8438
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 697111.2500 - val_loss: 473931.4062
Epoch 23/30
2/2 [==============================] - 0s 50ms/step - loss: 694887.6875 - val_loss: 472008.6562
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 692664.6875 - val_loss: 470034.9062
Epoch 25/30
2/2 [==============================] - 0s 53ms/step - loss: 690207.9375 - val_loss: 468030.1562
Epoch 26/30
2/2 [==============================] - 0s 65ms/step - loss: 687770.0625 - val_loss: 465994.4375
Epoch 27/30
2/2 [==============================] - 0s 122ms/step - loss: 685227.0625 - val_loss: 463928.2500
Epoch 28/30
2/2 [==============================] - 0s 55ms/step - loss: 682663.2500 - val_loss: 461822.0000
Epoch 29/30
2/2 [==============================] - 0s 49ms/step - loss: 680284.4375 - val_loss: 459644.9062
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 677818.8750 - val_loss: 457407.8125
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 82ms/step - loss: 675002.3125 - val_loss: 455145.4375
Epoch 2/30
2/2 [==============================] - 0s 34ms/step - loss: 672268.3750 - val_loss: 452847.5938
Epoch 3/30
2/2 [==============================] - 0s 36ms/step - loss: 669619.5625 - val_loss: 450483.0625
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 666929.6250 - val_loss: 448057.5000
Epoch 5/30
2/2 [==============================] - 0s 55ms/step - loss: 663862.1875 - val_loss: 445620.3438
Epoch 6/30
2/2 [==============================] - 0s 50ms/step - loss: 660985.0000 - val_loss: 443130.2812
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 658111.8750 - val_loss: 440582.8438
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 654828.2500 - val_loss: 438027.3438
Epoch 9/30
2/2 [==============================] - 0s 53ms/step - loss: 651773.9375 - val_loss: 435430.2500
Epoch 10/30
2/2 [==============================] - 0s 39ms/step - loss: 648938.3125 - val_loss: 432742.0000
Epoch 11/30
2/2 [==============================] - 0s 53ms/step - loss: 645373.0625 - val_loss: 430059.0000
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 642456.3750 - val_loss: 427290.2188
Epoch 13/30
2/2 [==============================] - 0s 40ms/step - loss: 639360.4375 - val_loss: 424461.9375
Epoch 14/30
2/2 [==============================] - 0s 40ms/step - loss: 635659.6875 - val_loss: 421631.6562
Epoch 15/30
2/2 [==============================] - 0s 35ms/step - loss: 632647.9375 - val_loss: 418711.8125
Epoch 16/30
2/2 [==============================] - 0s 37ms/step - loss: 628931.0625 - val_loss: 415790.1562
Epoch 17/30
2/2 [==============================] - 0s 43ms/step - loss: 625559.9375 - val_loss: 412807.2188
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 621713.1250 - val_loss: 409823.2500
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 618228.6250 - val_loss: 406784.5000
Epoch 20/30
2/2 [==============================] - 0s 42ms/step - loss: 614657.3750 - val_loss: 403682.5000
Epoch 21/30
2/2 [==============================] - 0s 45ms/step - loss: 610856.5625 - val_loss: 400552.0938
Epoch 22/30
2/2 [==============================] - 0s 45ms/step - loss: 607530.1875 - val_loss: 397333.4375
Epoch 23/30
2/2 [==============================] - 0s 33ms/step - loss: 603602.7500 - val_loss: 394098.7188
Epoch 24/30
2/2 [==============================] - 0s 42ms/step - loss: 599563.6250 - val_loss: 390842.8438
Epoch 25/30
2/2 [==============================] - 0s 35ms/step - loss: 595676.4375 - val_loss: 387541.7188
Epoch 26/30
2/2 [==============================] - 0s 61ms/step - loss: 591784.5625 - val_loss: 384196.7500
Epoch 27/30
2/2 [==============================] - 0s 53ms/step - loss: 587826.5625 - val_loss: 380806.7188
Epoch 28/30
2/2 [==============================] - 0s 46ms/step - loss: 583838.3750 - val_loss: 377384.7812
Epoch 29/30
2/2 [==============================] - 0s 54ms/step - loss: 579703.5625 - val_loss: 373929.0938
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 575548.3125 - val_loss: 370434.5938
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 85ms/step - loss: 571535.3750 - val_loss: 366890.3125
Epoch 2/30
2/2 [==============================] - 0s 40ms/step - loss: 567701.2500 - val_loss: 363264.5625
Epoch 3/30
2/2 [==============================] - 0s 33ms/step - loss: 563274.7500 - val_loss: 359633.2812
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 558715.5625 - val_loss: 356012.8438
Epoch 5/30
2/2 [==============================] - 0s 32ms/step - loss: 554553.7500 - val_loss: 352338.9062
Epoch 6/30
2/2 [==============================] - 0s 30ms/step - loss: 550069.0625 - val_loss: 348664.2812
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 545991.8750 - val_loss: 344923.9062
Epoch 8/30
2/2 [==============================] - 0s 32ms/step - loss: 541256.6250 - val_loss: 341212.7812
Epoch 9/30
2/2 [==============================] - 0s 27ms/step - loss: 536983.0625 - val_loss: 337447.7188
Epoch 10/30
2/2 [==============================] - 0s 30ms/step - loss: 532613.6875 - val_loss: 333640.4688
Epoch 11/30
2/2 [==============================] - 0s 28ms/step - loss: 528144.2500 - val_loss: 329817.3125
Epoch 12/30
2/2 [==============================] - 0s 29ms/step - loss: 523206.5938 - val_loss: 326021.1562
Epoch 13/30
2/2 [==============================] - 0s 32ms/step - loss: 518640.4375 - val_loss: 322205.8438
Epoch 14/30
2/2 [==============================] - 0s 32ms/step - loss: 514083.5312 - val_loss: 318354.8438
Epoch 15/30
2/2 [==============================] - 0s 31ms/step - loss: 509588.6250 - val_loss: 314480.5625
Epoch 16/30
2/2 [==============================] - 0s 28ms/step - loss: 504963.5625 - val_loss: 310568.5625
Epoch 17/30
2/2 [==============================] - 0s 33ms/step - loss: 500140.7188 - val_loss: 306665.5000
Epoch 18/30
2/2 [==============================] - 0s 30ms/step - loss: 495097.6250 - val_loss: 302808.0312
Epoch 19/30
2/2 [==============================] - 0s 31ms/step - loss: 491057.2812 - val_loss: 298843.8438
Epoch 20/30
2/2 [==============================] - 0s 29ms/step - loss: 486121.3125 - val_loss: 294895.0938
Epoch 21/30
2/2 [==============================] - 0s 36ms/step - loss: 481345.8438 - val_loss: 290947.9375
Epoch 22/30
2/2 [==============================] - 0s 34ms/step - loss: 476979.3125 - val_loss: 286944.5938
Epoch 23/30
2/2 [==============================] - 0s 32ms/step - loss: 471889.3438 - val_loss: 282984.5938
Epoch 24/30
2/2 [==============================] - 0s 32ms/step - loss: 467181.7812 - val_loss: 279018.5000
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 462542.1875 - val_loss: 275026.2188
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 457665.5625 - val_loss: 271060.9062
Epoch 27/30
2/2 [==============================] - 0s 37ms/step - loss: 452784.9375 - val_loss: 267113.7500
Epoch 28/30
2/2 [==============================] - 0s 32ms/step - loss: 448072.0000 - val_loss: 263168.1875
Epoch 29/30
2/2 [==============================] - 0s 31ms/step - loss: 443677.5938 - val_loss: 259175.6094
Epoch 30/30
2/2 [==============================] - 0s 31ms/step - loss: 438627.4375 - val_loss: 255235.0156
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 132ms/step - loss: 434160.8438 - val_loss: 251280.0781
Epoch 2/30
2/2 [==============================] - 0s 58ms/step - loss: 428654.4688 - val_loss: 247452.0156
Epoch 3/30
2/2 [==============================] - 0s 66ms/step - loss: 424355.5000 - val_loss: 243566.5938
Epoch 4/30
2/2 [==============================] - 0s 68ms/step - loss: 419268.6250 - val_loss: 239748.6719
Epoch 5/30
2/2 [==============================] - 0s 54ms/step - loss: 415535.8750 - val_loss: 235825.7812
Epoch 6/30
2/2 [==============================] - 0s 55ms/step - loss: 410715.5625 - val_loss: 231958.9531
Epoch 7/30
2/2 [==============================] - 0s 49ms/step - loss: 405946.1562 - val_loss: 228161.6406
Epoch 8/30
2/2 [==============================] - 0s 44ms/step - loss: 401224.2500 - val_loss: 224391.0938
Epoch 9/30
2/2 [==============================] - 0s 48ms/step - loss: 396657.7500 - val_loss: 220650.3281
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 391937.9062 - val_loss: 216992.0156
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 387373.9062 - val_loss: 213350.2344
Epoch 12/30
2/2 [==============================] - 0s 54ms/step - loss: 383104.9688 - val_loss: 209750.0156
Epoch 13/30
2/2 [==============================] - 0s 54ms/step - loss: 378848.0938 - val_loss: 206148.5156
Epoch 14/30
2/2 [==============================] - 0s 50ms/step - loss: 374397.3438 - val_loss: 202597.9531
Epoch 15/30
2/2 [==============================] - 0s 51ms/step - loss: 370076.8438 - val_loss: 199076.2500
Epoch 16/30
2/2 [==============================] - 0s 42ms/step - loss: 364857.2812 - val_loss: 195757.9844
Epoch 17/30
2/2 [==============================] - 0s 43ms/step - loss: 361596.5000 - val_loss: 192312.2344
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 357323.1250 - val_loss: 188923.1406
Epoch 19/30
2/2 [==============================] - 0s 50ms/step - loss: 352797.2500 - val_loss: 185631.8750
Epoch 20/30
2/2 [==============================] - 0s 67ms/step - loss: 349002.7188 - val_loss: 182334.4062
Epoch 21/30
2/2 [==============================] - 0s 39ms/step - loss: 344626.3438 - val_loss: 179119.7031
Epoch 22/30
2/2 [==============================] - 0s 37ms/step - loss: 340410.1562 - val_loss: 175958.7812
Epoch 23/30
2/2 [==============================] - 0s 36ms/step - loss: 336343.8750 - val_loss: 172874.8281
Epoch 24/30
2/2 [==============================] - 0s 32ms/step - loss: 333335.0312 - val_loss: 169707.1250
Epoch 25/30
2/2 [==============================] - 0s 28ms/step - loss: 328953.1875 - val_loss: 166669.4844
Epoch 26/30
2/2 [==============================] - 0s 35ms/step - loss: 324760.0625 - val_loss: 163757.3281
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 321249.7812 - val_loss: 160854.9688
Epoch 28/30
2/2 [==============================] - 0s 40ms/step - loss: 317600.0938 - val_loss: 157984.1250
Epoch 29/30
2/2 [==============================] - 0s 56ms/step - loss: 314301.2812 - val_loss: 155132.7344
Epoch 30/30
2/2 [==============================] - 0s 50ms/step - loss: 309934.6250 - val_loss: 152448.1094
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 78ms/step - loss: 307537.7188 - val_loss: 149661.7031
Epoch 2/30
2/2 [==============================] - 0s 33ms/step - loss: 303504.5000 - val_loss: 147023.8281
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 299605.7500 - val_loss: 144540.9531
Epoch 4/30
2/2 [==============================] - 0s 31ms/step - loss: 296856.0000 - val_loss: 141998.2344
Epoch 5/30
2/2 [==============================] - 0s 36ms/step - loss: 293301.8438 - val_loss: 139571.8750
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 290564.7812 - val_loss: 137145.2188
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 287012.7812 - val_loss: 134835.4688
Epoch 8/30
2/2 [==============================] - 0s 32ms/step - loss: 283531.2812 - val_loss: 132644.2500
Epoch 9/30
2/2 [==============================] - 0s 33ms/step - loss: 280889.5000 - val_loss: 130444.5469
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 278191.3125 - val_loss: 128256.5078
Epoch 11/30
2/2 [==============================] - 0s 37ms/step - loss: 274904.6875 - val_loss: 126204.2891
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 272644.2188 - val_loss: 124125.9219
Epoch 13/30
2/2 [==============================] - 0s 28ms/step - loss: 269611.3125 - val_loss: 122127.7734
Epoch 14/30
2/2 [==============================] - 0s 32ms/step - loss: 267044.3750 - val_loss: 120193.6641
Epoch 15/30
2/2 [==============================] - 0s 28ms/step - loss: 264389.8750 - val_loss: 118344.1797
Epoch 16/30
2/2 [==============================] - 0s 33ms/step - loss: 261420.8281 - val_loss: 116604.6250
Epoch 17/30
2/2 [==============================] - 0s 32ms/step - loss: 259168.7656 - val_loss: 114889.6250
Epoch 18/30
2/2 [==============================] - 0s 35ms/step - loss: 256628.4062 - val_loss: 113252.8750
Epoch 19/30
2/2 [==============================] - 0s 30ms/step - loss: 254389.5781 - val_loss: 111657.0000
Epoch 20/30
2/2 [==============================] - 0s 32ms/step - loss: 251940.6094 - val_loss: 110147.9609
Epoch 21/30
2/2 [==============================] - 0s 30ms/step - loss: 249963.7188 - val_loss: 108640.3281
Epoch 22/30
2/2 [==============================] - 0s 34ms/step - loss: 247865.4688 - val_loss: 107189.5391
Epoch 23/30
2/2 [==============================] - 0s 33ms/step - loss: 245539.7188 - val_loss: 105826.1406
Epoch 24/30
2/2 [==============================] - 0s 28ms/step - loss: 243782.2188 - val_loss: 104498.5781
Epoch 25/30
2/2 [==============================] - 0s 40ms/step - loss: 241544.9219 - val_loss: 103244.5391
Epoch 26/30
2/2 [==============================] - 0s 39ms/step - loss: 239458.9844 - val_loss: 102085.2578
Epoch 27/30
2/2 [==============================] - 0s 34ms/step - loss: 237569.4531 - val_loss: 100958.3672
Epoch 28/30
2/2 [==============================] - 0s 34ms/step - loss: 235724.8281 - val_loss: 99872.6094
Epoch 29/30
2/2 [==============================] - 0s 37ms/step - loss: 234170.7031 - val_loss: 98826.8984
Epoch 30/30
2/2 [==============================] - 0s 39ms/step - loss: 232635.7812 - val_loss: 97825.9297
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 85ms/step - loss: 230630.3438 - val_loss: 96911.9375
Epoch 2/30
2/2 [==============================] - 0s 40ms/step - loss: 229107.3125 - val_loss: 96030.1719
Epoch 3/30
2/2 [==============================] - 0s 39ms/step - loss: 227705.4219 - val_loss: 95176.9375
Epoch 4/30
2/2 [==============================] - 0s 34ms/step - loss: 226546.8594 - val_loss: 94371.2969
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 224672.6406 - val_loss: 93643.0391
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 223619.7031 - val_loss: 92926.0391
Epoch 7/30
2/2 [==============================] - 0s 36ms/step - loss: 222146.1562 - val_loss: 92275.9453
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 220670.8594 - val_loss: 91675.6953
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 219588.8281 - val_loss: 91100.5703
Epoch 10/30
2/2 [==============================] - 0s 43ms/step - loss: 218487.9062 - val_loss: 90554.5234
Epoch 11/30
2/2 [==============================] - 0s 36ms/step - loss: 217469.0781 - val_loss: 90040.5391
Epoch 12/30
2/2 [==============================] - 0s 36ms/step - loss: 216387.0625 - val_loss: 89555.6953
Epoch 13/30
2/2 [==============================] - 0s 35ms/step - loss: 215110.3125 - val_loss: 89128.2344
Epoch 14/30
2/2 [==============================] - 0s 34ms/step - loss: 214385.5312 - val_loss: 88724.4219
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 213294.2656 - val_loss: 88351.3516
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 212548.0781 - val_loss: 88002.4609
Epoch 17/30
2/2 [==============================] - 0s 31ms/step - loss: 211529.9062 - val_loss: 87686.9609
Epoch 18/30
2/2 [==============================] - 0s 33ms/step - loss: 210539.9219 - val_loss: 87406.0547
Epoch 19/30
2/2 [==============================] - 0s 30ms/step - loss: 209919.5156 - val_loss: 87148.7344
Epoch 20/30
2/2 [==============================] - 0s 33ms/step - loss: 209420.2344 - val_loss: 86919.7500
Epoch 21/30
2/2 [==============================] - 0s 30ms/step - loss: 208384.4688 - val_loss: 86706.7422
Epoch 22/30
2/2 [==============================] - 0s 30ms/step - loss: 207499.9219 - val_loss: 86519.5781
Epoch 23/30
2/2 [==============================] - 0s 34ms/step - loss: 206955.1875 - val_loss: 86360.1406
Epoch 24/30
2/2 [==============================] - 0s 38ms/step - loss: 206517.5469 - val_loss: 86224.1641
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 205805.1094 - val_loss: 86092.3906
Epoch 26/30
2/2 [==============================] - 0s 30ms/step - loss: 205427.8594 - val_loss: 85998.1094
Epoch 27/30
2/2 [==============================] - 0s 34ms/step - loss: 204599.8750 - val_loss: 85895.2891
Epoch 28/30
2/2 [==============================] - 0s 35ms/step - loss: 204228.7656 - val_loss: 85835.3906
Epoch 29/30
2/2 [==============================] - 0s 33ms/step - loss: 203882.0938 - val_loss: 85784.5703
Epoch 30/30
2/2 [==============================] - 0s 39ms/step - loss: 203272.8438 - val_loss: 85733.0781
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 67ms/step - loss: 202778.0000 - val_loss: 85686.9219
Epoch 2/30
2/2 [==============================] - 0s 32ms/step - loss: 202430.0000 - val_loss: 85630.1484
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 201948.6406 - val_loss: 85612.4453
Epoch 4/30
2/2 [==============================] - 0s 30ms/step - loss: 201517.4844 - val_loss: 85592.8281
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 201214.8438 - val_loss: 85602.9609
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 200803.8281 - val_loss: 85610.2500
Epoch 7/30
2/2 [==============================] - 0s 47ms/step - loss: 200383.3281 - val_loss: 85610.5156
Epoch 8/30
2/2 [==============================] - 0s 44ms/step - loss: 200087.7500 - val_loss: 85622.4297
Epoch 9/30
2/2 [==============================] - 0s 39ms/step - loss: 199860.5781 - val_loss: 85657.6484
Epoch 10/30
2/2 [==============================] - 0s 35ms/step - loss: 199453.1094 - val_loss: 85666.6875
Epoch 11/30
2/2 [==============================] - 0s 33ms/step - loss: 199331.3438 - val_loss: 85704.4453
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 199097.8125 - val_loss: 85764.9531
Epoch 13/30
2/2 [==============================] - 0s 37ms/step - loss: 198767.7969 - val_loss: 85822.8125
Epoch 14/30
2/2 [==============================] - 0s 43ms/step - loss: 198594.0156 - val_loss: 85857.4844
Epoch 15/30
2/2 [==============================] - 0s 46ms/step - loss: 198205.2031 - val_loss: 85886.1094
Epoch 16/30
2/2 [==============================] - 0s 45ms/step - loss: 198110.6094 - val_loss: 85954.9609
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 197820.4062 - val_loss: 85964.8594
Epoch 18/30
2/2 [==============================] - 0s 36ms/step - loss: 197638.5781 - val_loss: 85988.9531
Epoch 19/30
2/2 [==============================] - 0s 56ms/step - loss: 197441.6406 - val_loss: 86032.1016
Epoch 20/30
2/2 [==============================] - 0s 38ms/step - loss: 197311.0000 - val_loss: 86051.8125
Epoch 21/30
2/2 [==============================] - 0s 49ms/step - loss: 197135.3594 - val_loss: 86114.7734
Epoch 22/30
2/2 [==============================] - 0s 57ms/step - loss: 196853.3594 - val_loss: 86169.0859
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 196725.3906 - val_loss: 86198.9141
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 196494.4688 - val_loss: 86207.6172
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 196395.0156 - val_loss: 86288.0859
Epoch 26/30
2/2 [==============================] - 0s 33ms/step - loss: 196339.3125 - val_loss: 86391.1875
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 196093.1562 - val_loss: 86444.8125
Epoch 28/30
2/2 [==============================] - 0s 33ms/step - loss: 195919.2656 - val_loss: 86468.8203
Epoch 29/30
2/2 [==============================] - 0s 32ms/step - loss: 195815.0469 - val_loss: 86515.5781
Epoch 30/30
2/2 [==============================] - 0s 35ms/step - loss: 195768.9844 - val_loss: 86565.3516
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 64ms/step - loss: 195568.0000 - val_loss: 86620.1094
Epoch 2/30
2/2 [==============================] - 0s 34ms/step - loss: 195480.2188 - val_loss: 86658.9219
Epoch 3/30
2/2 [==============================] - 0s 29ms/step - loss: 195278.5312 - val_loss: 86666.0234
Epoch 4/30
2/2 [==============================] - 0s 31ms/step - loss: 195273.5781 - val_loss: 86735.5391
Epoch 5/30
2/2 [==============================] - 0s 30ms/step - loss: 195052.7031 - val_loss: 86721.7344
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 195039.9688 - val_loss: 86787.8984
Epoch 7/30
2/2 [==============================] - 0s 34ms/step - loss: 194852.2500 - val_loss: 86755.2578
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 194808.5469 - val_loss: 86776.0703
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 194698.3281 - val_loss: 86793.0547
Epoch 10/30
2/2 [==============================] - 0s 37ms/step - loss: 194582.9219 - val_loss: 86812.9141
Epoch 11/30
2/2 [==============================] - 0s 32ms/step - loss: 194479.9844 - val_loss: 86838.2031
Epoch 12/30
2/2 [==============================] - 0s 35ms/step - loss: 194397.7812 - val_loss: 86805.7891
Epoch 13/30
2/2 [==============================] - 0s 39ms/step - loss: 194270.6719 - val_loss: 86775.1250
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 194170.1562 - val_loss: 86773.8047
Epoch 15/30
2/2 [==============================] - 0s 34ms/step - loss: 194099.9375 - val_loss: 86775.0859
Epoch 16/30
2/2 [==============================] - 0s 34ms/step - loss: 193984.1562 - val_loss: 86788.8203
Epoch 17/30
2/2 [==============================] - 0s 33ms/step - loss: 193930.0781 - val_loss: 86772.7891
Epoch 18/30
2/2 [==============================] - 0s 44ms/step - loss: 193863.2031 - val_loss: 86762.1328
Epoch 19/30
2/2 [==============================] - 0s 32ms/step - loss: 193802.5156 - val_loss: 86758.3047
Epoch 20/30
2/2 [==============================] - 0s 30ms/step - loss: 193734.3750 - val_loss: 86762.0000
Epoch 21/30
2/2 [==============================] - 0s 35ms/step - loss: 193550.4219 - val_loss: 86789.1953
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 193483.1406 - val_loss: 86813.0000
Epoch 23/30
2/2 [==============================] - 0s 35ms/step - loss: 193393.3438 - val_loss: 86837.7734
Epoch 24/30
2/2 [==============================] - 0s 29ms/step - loss: 193344.0625 - val_loss: 86899.0703
Epoch 25/30
2/2 [==============================] - 0s 31ms/step - loss: 193265.0000 - val_loss: 86920.4297
Epoch 26/30
2/2 [==============================] - 0s 35ms/step - loss: 193151.3125 - val_loss: 86875.7656
Epoch 27/30
2/2 [==============================] - 0s 35ms/step - loss: 193132.9219 - val_loss: 86933.5859
Epoch 28/30
2/2 [==============================] - 0s 39ms/step - loss: 193020.6562 - val_loss: 86906.5234
Epoch 29/30
2/2 [==============================] - 0s 34ms/step - loss: 192923.9375 - val_loss: 86900.7500
Epoch 30/30
2/2 [==============================] - 0s 35ms/step - loss: 192845.2969 - val_loss: 86865.3047
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 76ms/step - loss: 192828.0000 - val_loss: 86853.2891
Epoch 2/30
2/2 [==============================] - 0s 32ms/step - loss: 192679.6250 - val_loss: 86817.4922
Epoch 3/30
2/2 [==============================] - 0s 33ms/step - loss: 192646.8125 - val_loss: 86815.4297
Epoch 4/30
2/2 [==============================] - 0s 34ms/step - loss: 192530.8906 - val_loss: 86789.0547
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 192490.2188 - val_loss: 86722.6953
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 192437.6719 - val_loss: 86720.8594
Epoch 7/30
2/2 [==============================] - 0s 32ms/step - loss: 192333.0625 - val_loss: 86710.3828
Epoch 8/30
2/2 [==============================] - 0s 31ms/step - loss: 192232.5781 - val_loss: 86682.8516
Epoch 9/30
2/2 [==============================] - 0s 41ms/step - loss: 192211.8438 - val_loss: 86582.3594
Epoch 10/30
2/2 [==============================] - 0s 32ms/step - loss: 192155.6250 - val_loss: 86593.0000
Epoch 11/30
2/2 [==============================] - 0s 31ms/step - loss: 192006.0625 - val_loss: 86519.1641
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 191969.9062 - val_loss: 86432.6484
Epoch 13/30
2/2 [==============================] - 0s 34ms/step - loss: 191877.8281 - val_loss: 86397.0391
Epoch 14/30
2/2 [==============================] - 0s 44ms/step - loss: 191784.8125 - val_loss: 86375.5703
Epoch 15/30
2/2 [==============================] - 0s 38ms/step - loss: 191709.4844 - val_loss: 86325.9297
Epoch 16/30
2/2 [==============================] - 0s 36ms/step - loss: 191641.8750 - val_loss: 86307.0391
Epoch 17/30
2/2 [==============================] - 0s 40ms/step - loss: 191641.0938 - val_loss: 86303.8047
Epoch 18/30
2/2 [==============================] - 0s 37ms/step - loss: 191508.9531 - val_loss: 86221.8984
Epoch 19/30
2/2 [==============================] - 0s 40ms/step - loss: 191436.4531 - val_loss: 86205.2656
Epoch 20/30
2/2 [==============================] - 0s 59ms/step - loss: 191376.1094 - val_loss: 86212.8359
Epoch 21/30
2/2 [==============================] - 0s 50ms/step - loss: 191354.8281 - val_loss: 86162.4141
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 191211.5312 - val_loss: 86143.3594
Epoch 23/30
2/2 [==============================] - 0s 34ms/step - loss: 191139.9219 - val_loss: 86056.4297
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 191118.3594 - val_loss: 85948.3047
Epoch 25/30
2/2 [==============================] - 0s 35ms/step - loss: 191011.9062 - val_loss: 85912.6797
Epoch 26/30
2/2 [==============================] - 0s 70ms/step - loss: 190974.3438 - val_loss: 85848.1953
Epoch 27/30
2/2 [==============================] - 0s 46ms/step - loss: 190969.1719 - val_loss: 85793.4531
Epoch 28/30
2/2 [==============================] - 0s 38ms/step - loss: 190780.8438 - val_loss: 85788.3047
Epoch 29/30
2/2 [==============================] - 0s 40ms/step - loss: 190816.0938 - val_loss: 85757.1094
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 190632.3125 - val_loss: 85733.7891
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 68ms/step - loss: 190620.5312 - val_loss: 85716.1094
Epoch 2/30
2/2 [==============================] - 0s 28ms/step - loss: 190503.6562 - val_loss: 85727.6094
Epoch 3/30
2/2 [==============================] - 0s 37ms/step - loss: 190439.0000 - val_loss: 85708.5703
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 190376.3281 - val_loss: 85711.7266
Epoch 5/30
2/2 [==============================] - 0s 36ms/step - loss: 190346.6562 - val_loss: 85679.8203
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 190263.9375 - val_loss: 85670.9219
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 190179.2500 - val_loss: 85622.4531
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 190235.2344 - val_loss: 85567.0156
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 190012.9531 - val_loss: 85494.1484
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 189955.3594 - val_loss: 85436.7422
Epoch 11/30
2/2 [==============================] - 0s 36ms/step - loss: 189922.2656 - val_loss: 85395.1953
Epoch 12/30
2/2 [==============================] - 0s 34ms/step - loss: 189851.5156 - val_loss: 85324.2891
Epoch 13/30
2/2 [==============================] - 0s 38ms/step - loss: 189746.5156 - val_loss: 85275.1016
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 189709.7188 - val_loss: 85223.0000
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 189627.6094 - val_loss: 85195.1797
Epoch 16/30
2/2 [==============================] - 0s 36ms/step - loss: 189652.8281 - val_loss: 85154.8828
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 189517.0469 - val_loss: 85140.9297
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 189442.8281 - val_loss: 85068.7344
Epoch 19/30
2/2 [==============================] - 0s 34ms/step - loss: 189454.3906 - val_loss: 85090.6094
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 189334.1406 - val_loss: 85062.1016
Epoch 21/30
2/2 [==============================] - 0s 34ms/step - loss: 189244.4375 - val_loss: 84996.4766
Epoch 22/30
2/2 [==============================] - 0s 32ms/step - loss: 189189.7031 - val_loss: 84943.1250
Epoch 23/30
2/2 [==============================] - 0s 39ms/step - loss: 189216.7344 - val_loss: 84787.6875
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 189084.9219 - val_loss: 84735.9453
Epoch 25/30
2/2 [==============================] - 0s 55ms/step - loss: 189134.6094 - val_loss: 84628.8516
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 188961.1719 - val_loss: 84628.5625
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 188935.1406 - val_loss: 84623.1797
Epoch 28/30
2/2 [==============================] - 0s 32ms/step - loss: 188858.0625 - val_loss: 84630.0859
Epoch 29/30
2/2 [==============================] - 0s 34ms/step - loss: 188794.1562 - val_loss: 84585.0000
Epoch 30/30
2/2 [==============================] - 0s 31ms/step - loss: 188795.6719 - val_loss: 84584.7266
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 85ms/step - loss: 188726.7031 - val_loss: 84620.5156
Epoch 2/30
2/2 [==============================] - 0s 43ms/step - loss: 188623.3594 - val_loss: 84575.9844
Epoch 3/30
2/2 [==============================] - 0s 37ms/step - loss: 188600.1875 - val_loss: 84491.1250
Epoch 4/30
2/2 [==============================] - 0s 38ms/step - loss: 188509.5781 - val_loss: 84489.0391
Epoch 5/30
2/2 [==============================] - 0s 33ms/step - loss: 188446.1406 - val_loss: 84456.8359
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 188424.7656 - val_loss: 84456.2031
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 188408.7344 - val_loss: 84421.1953
Epoch 8/30
2/2 [==============================] - 0s 33ms/step - loss: 188405.0781 - val_loss: 84476.4844
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 188306.1875 - val_loss: 84363.3359
Epoch 10/30
2/2 [==============================] - 0s 37ms/step - loss: 188201.1719 - val_loss: 84310.7891
Epoch 11/30
2/2 [==============================] - 0s 34ms/step - loss: 188144.4688 - val_loss: 84289.6641
Epoch 12/30
2/2 [==============================] - 0s 45ms/step - loss: 188133.3281 - val_loss: 84275.6953
Epoch 13/30
2/2 [==============================] - 0s 40ms/step - loss: 188048.0000 - val_loss: 84280.0859
Epoch 14/30
2/2 [==============================] - 0s 42ms/step - loss: 188038.6719 - val_loss: 84246.5703
Epoch 15/30
2/2 [==============================] - 0s 36ms/step - loss: 188014.6250 - val_loss: 84263.0000
Epoch 16/30
2/2 [==============================] - 0s 30ms/step - loss: 187940.6094 - val_loss: 84272.6641
Epoch 17/30
2/2 [==============================] - 0s 35ms/step - loss: 187864.2031 - val_loss: 84189.8672
Epoch 18/30
2/2 [==============================] - 0s 31ms/step - loss: 187793.6406 - val_loss: 84148.2578
Epoch 19/30
2/2 [==============================] - 0s 30ms/step - loss: 187798.8281 - val_loss: 84073.1172
Epoch 20/30
2/2 [==============================] - 0s 28ms/step - loss: 187756.3438 - val_loss: 84043.8594
Epoch 21/30
2/2 [==============================] - 0s 45ms/step - loss: 187657.4844 - val_loss: 83999.6406
Epoch 22/30
2/2 [==============================] - 0s 55ms/step - loss: 187604.4688 - val_loss: 84026.4453
Epoch 23/30
2/2 [==============================] - 0s 41ms/step - loss: 187619.0781 - val_loss: 84074.2656
Epoch 24/30
2/2 [==============================] - 0s 37ms/step - loss: 187495.4844 - val_loss: 84050.6641
Epoch 25/30
2/2 [==============================] - 0s 32ms/step - loss: 187477.9062 - val_loss: 83987.6484
Epoch 26/30
2/2 [==============================] - 0s 35ms/step - loss: 187619.4219 - val_loss: 84003.0703
Epoch 27/30
2/2 [==============================] - 0s 37ms/step - loss: 187385.2344 - val_loss: 83965.7656
Epoch 28/30
2/2 [==============================] - 0s 44ms/step - loss: 187317.4219 - val_loss: 83970.6953
Epoch 29/30
2/2 [==============================] - 0s 56ms/step - loss: 187253.7500 - val_loss: 83949.7344
Epoch 30/30
2/2 [==============================] - 0s 47ms/step - loss: 187212.0000 - val_loss: 83930.0703
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 62ms/step - loss: 187191.9375 - val_loss: 83932.2656
Epoch 2/30
2/2 [==============================] - 0s 31ms/step - loss: 187118.0625 - val_loss: 83927.0000
Epoch 3/30
2/2 [==============================] - 0s 28ms/step - loss: 187070.0781 - val_loss: 83903.0078
Epoch 4/30
2/2 [==============================] - 0s 36ms/step - loss: 187017.9844 - val_loss: 83869.8750
Epoch 5/30
2/2 [==============================] - 0s 38ms/step - loss: 187000.1875 - val_loss: 83858.2656
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 186952.0000 - val_loss: 83825.1328
Epoch 7/30
2/2 [==============================] - 0s 38ms/step - loss: 186904.5469 - val_loss: 83820.6250
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 186956.4688 - val_loss: 83710.4297
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 186824.4375 - val_loss: 83648.6172
Epoch 10/30
2/2 [==============================] - 0s 34ms/step - loss: 186747.7812 - val_loss: 83662.6328
Epoch 11/30
2/2 [==============================] - 0s 29ms/step - loss: 186747.0156 - val_loss: 83675.2031
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 186794.4062 - val_loss: 83651.7266
Epoch 13/30
2/2 [==============================] - 0s 29ms/step - loss: 186631.0469 - val_loss: 83593.6484
Epoch 14/30
2/2 [==============================] - 0s 36ms/step - loss: 186572.2812 - val_loss: 83614.6797
Epoch 15/30
2/2 [==============================] - 0s 28ms/step - loss: 186615.6875 - val_loss: 83664.0078
Epoch 16/30
2/2 [==============================] - 0s 37ms/step - loss: 186467.4219 - val_loss: 83648.6797
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 186451.1719 - val_loss: 83621.5000
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 186425.6875 - val_loss: 83627.8828
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 186398.7656 - val_loss: 83585.9375
Epoch 20/30
2/2 [==============================] - 0s 34ms/step - loss: 186328.2188 - val_loss: 83592.0703
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 186331.9688 - val_loss: 83531.3750
Epoch 22/30
2/2 [==============================] - 0s 33ms/step - loss: 186175.8125 - val_loss: 83472.6250
Epoch 23/30
2/2 [==============================] - 0s 32ms/step - loss: 186190.8750 - val_loss: 83355.6094
Epoch 24/30
2/2 [==============================] - 0s 33ms/step - loss: 186136.6250 - val_loss: 83255.7656
Epoch 25/30
2/2 [==============================] - 0s 39ms/step - loss: 186077.2969 - val_loss: 83237.8594
Epoch 26/30
2/2 [==============================] - 0s 31ms/step - loss: 186107.7969 - val_loss: 83127.7656
Epoch 27/30
2/2 [==============================] - 0s 33ms/step - loss: 185960.2812 - val_loss: 83117.9453
Epoch 28/30
2/2 [==============================] - 0s 47ms/step - loss: 186039.2031 - val_loss: 83185.9844
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 185933.1094 - val_loss: 83235.3594
Epoch 30/30
2/2 [==============================] - 0s 35ms/step - loss: 185811.5938 - val_loss: 83210.3047
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 72ms/step - loss: 185828.2812 - val_loss: 83210.6016
Epoch 2/30
2/2 [==============================] - 0s 33ms/step - loss: 185748.6719 - val_loss: 83153.7266
Epoch 3/30
2/2 [==============================] - 0s 38ms/step - loss: 185694.3438 - val_loss: 83129.8047
Epoch 4/30
2/2 [==============================] - 0s 41ms/step - loss: 185649.7188 - val_loss: 83133.3281
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 185662.2344 - val_loss: 83148.6641
Epoch 6/30
2/2 [==============================] - 0s 36ms/step - loss: 185611.5625 - val_loss: 83054.0234
Epoch 7/30
2/2 [==============================] - 0s 45ms/step - loss: 185503.3750 - val_loss: 82984.8203
Epoch 8/30
2/2 [==============================] - 0s 39ms/step - loss: 185501.9688 - val_loss: 82967.5156
Epoch 9/30
2/2 [==============================] - 0s 40ms/step - loss: 185471.2969 - val_loss: 82880.2422
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 185363.7500 - val_loss: 82845.1250
Epoch 11/30
2/2 [==============================] - 0s 47ms/step - loss: 185312.9219 - val_loss: 82840.0391
Epoch 12/30
2/2 [==============================] - 0s 50ms/step - loss: 185286.3438 - val_loss: 82830.5000
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 185232.2500 - val_loss: 82801.5391
Epoch 14/30
2/2 [==============================] - 0s 35ms/step - loss: 185234.3438 - val_loss: 82796.7734
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 185148.4688 - val_loss: 82756.7891
Epoch 16/30
2/2 [==============================] - 0s 36ms/step - loss: 185123.8438 - val_loss: 82734.6484
Epoch 17/30
2/2 [==============================] - 0s 35ms/step - loss: 185054.2500 - val_loss: 82696.5469
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 185034.9219 - val_loss: 82684.2344
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 184978.5156 - val_loss: 82684.1641
Epoch 20/30
2/2 [==============================] - 0s 38ms/step - loss: 184914.7656 - val_loss: 82662.2891
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 184903.7188 - val_loss: 82650.5859
Epoch 22/30
2/2 [==============================] - 0s 35ms/step - loss: 184826.5312 - val_loss: 82605.8594
Epoch 23/30
2/2 [==============================] - 0s 35ms/step - loss: 184777.2344 - val_loss: 82575.4844
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 184777.8906 - val_loss: 82599.7109
Epoch 25/30
2/2 [==============================] - 0s 34ms/step - loss: 184745.8125 - val_loss: 82608.0703
Epoch 26/30
2/2 [==============================] - 0s 34ms/step - loss: 184793.9062 - val_loss: 82525.4531
Epoch 27/30
2/2 [==============================] - 0s 33ms/step - loss: 184638.4062 - val_loss: 82469.9453
Epoch 28/30
2/2 [==============================] - 0s 34ms/step - loss: 184555.6094 - val_loss: 82483.4609
Epoch 29/30
2/2 [==============================] - 0s 31ms/step - loss: 184611.2031 - val_loss: 82454.1328
Epoch 30/30
2/2 [==============================] - 0s 38ms/step - loss: 184499.8906 - val_loss: 82419.6875
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 74ms/step - loss: 184420.6406 - val_loss: 82383.9844
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 184435.4531 - val_loss: 82437.1953
Epoch 3/30
2/2 [==============================] - 0s 40ms/step - loss: 184335.4219 - val_loss: 82411.7500
Epoch 4/30
2/2 [==============================] - 0s 34ms/step - loss: 184288.0312 - val_loss: 82426.2578
Epoch 5/30
2/2 [==============================] - 0s 33ms/step - loss: 184261.3281 - val_loss: 82407.1641
Epoch 6/30
2/2 [==============================] - 0s 29ms/step - loss: 184183.6250 - val_loss: 82362.8203
Epoch 7/30
2/2 [==============================] - 0s 53ms/step - loss: 184206.9844 - val_loss: 82299.6250
Epoch 8/30
2/2 [==============================] - 0s 51ms/step - loss: 184162.5156 - val_loss: 82323.9844
Epoch 9/30
2/2 [==============================] - 0s 42ms/step - loss: 184055.4062 - val_loss: 82283.7109
Epoch 10/30
2/2 [==============================] - 0s 35ms/step - loss: 184123.6719 - val_loss: 82255.3203
Epoch 11/30
2/2 [==============================] - 0s 38ms/step - loss: 184119.2031 - val_loss: 82236.0000
Epoch 12/30
2/2 [==============================] - 0s 39ms/step - loss: 184013.6250 - val_loss: 82161.1641
Epoch 13/30
2/2 [==============================] - 0s 39ms/step - loss: 183919.3906 - val_loss: 82172.7500
Epoch 14/30
2/2 [==============================] - 0s 31ms/step - loss: 183847.4219 - val_loss: 82147.5000
Epoch 15/30
2/2 [==============================] - 0s 34ms/step - loss: 183830.0938 - val_loss: 82088.0703
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 183766.9219 - val_loss: 82100.8047
Epoch 17/30
2/2 [==============================] - 0s 37ms/step - loss: 183771.4375 - val_loss: 82006.5547
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 183648.1250 - val_loss: 81989.8750
Epoch 19/30
2/2 [==============================] - 0s 32ms/step - loss: 183648.7188 - val_loss: 81980.8750
Epoch 20/30
2/2 [==============================] - 0s 32ms/step - loss: 183564.2344 - val_loss: 81932.5156
Epoch 21/30
2/2 [==============================] - 0s 31ms/step - loss: 183582.8281 - val_loss: 81865.6797
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 183499.9531 - val_loss: 81789.4766
Epoch 23/30
2/2 [==============================] - 0s 33ms/step - loss: 183433.7500 - val_loss: 81799.5234
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 183454.7656 - val_loss: 81797.1406
Epoch 25/30
2/2 [==============================] - 0s 48ms/step - loss: 183352.0938 - val_loss: 81729.5625
Epoch 26/30
2/2 [==============================] - 0s 51ms/step - loss: 183313.1406 - val_loss: 81701.2500
Epoch 27/30
2/2 [==============================] - 0s 37ms/step - loss: 183276.9844 - val_loss: 81654.7344
Epoch 28/30
2/2 [==============================] - 0s 37ms/step - loss: 183208.0000 - val_loss: 81617.3516
Epoch 29/30
2/2 [==============================] - 0s 33ms/step - loss: 183167.3281 - val_loss: 81583.2969
Epoch 30/30
2/2 [==============================] - 0s 34ms/step - loss: 183182.9219 - val_loss: 81539.0781
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 62ms/step - loss: 183073.4531 - val_loss: 81559.1719
Epoch 2/30
2/2 [==============================] - 0s 30ms/step - loss: 183157.6406 - val_loss: 81485.5781
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 182995.9375 - val_loss: 81534.8750
Epoch 4/30
2/2 [==============================] - 0s 30ms/step - loss: 182930.9531 - val_loss: 81542.5391
Epoch 5/30
2/2 [==============================] - 0s 32ms/step - loss: 182950.4375 - val_loss: 81564.0703
Epoch 6/30
2/2 [==============================] - 0s 29ms/step - loss: 182897.5312 - val_loss: 81572.2656
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 182876.4375 - val_loss: 81533.8594
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 182815.1406 - val_loss: 81568.5703
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 182721.3906 - val_loss: 81552.1641
Epoch 10/30
2/2 [==============================] - 0s 36ms/step - loss: 182671.2344 - val_loss: 81509.7344
Epoch 11/30
2/2 [==============================] - 0s 49ms/step - loss: 182660.4062 - val_loss: 81415.6406
Epoch 12/30
2/2 [==============================] - 0s 35ms/step - loss: 182604.6406 - val_loss: 81422.1094
Epoch 13/30
2/2 [==============================] - 0s 35ms/step - loss: 182591.2188 - val_loss: 81321.5000
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 182489.8594 - val_loss: 81270.1094
Epoch 15/30
2/2 [==============================] - 0s 36ms/step - loss: 182505.0156 - val_loss: 81210.8281
Epoch 16/30
2/2 [==============================] - 0s 39ms/step - loss: 182462.9219 - val_loss: 81252.5703
Epoch 17/30
2/2 [==============================] - 0s 39ms/step - loss: 182413.1406 - val_loss: 81169.1953
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 182343.7188 - val_loss: 81188.4297
Epoch 19/30
2/2 [==============================] - 0s 31ms/step - loss: 182277.0781 - val_loss: 81145.0703
Epoch 20/30
2/2 [==============================] - 0s 33ms/step - loss: 182298.8438 - val_loss: 81049.2656
Epoch 21/30
2/2 [==============================] - 0s 32ms/step - loss: 182303.8438 - val_loss: 81069.2500
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 182185.2031 - val_loss: 81043.0547
Epoch 23/30
2/2 [==============================] - 0s 35ms/step - loss: 182099.2969 - val_loss: 81043.3984
Epoch 24/30
2/2 [==============================] - 0s 34ms/step - loss: 182049.6875 - val_loss: 81023.3672
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 182012.3594 - val_loss: 80990.0078
Epoch 26/30
2/2 [==============================] - 0s 32ms/step - loss: 181956.2344 - val_loss: 80964.1094
Epoch 27/30
2/2 [==============================] - 0s 32ms/step - loss: 181917.0625 - val_loss: 80942.2422
Epoch 28/30
2/2 [==============================] - 0s 34ms/step - loss: 181896.2031 - val_loss: 80928.8203
Epoch 29/30
2/2 [==============================] - 0s 31ms/step - loss: 181834.9219 - val_loss: 80893.3906
Epoch 30/30
2/2 [==============================] - 0s 33ms/step - loss: 181778.2656 - val_loss: 80840.8359
3/3 [==============================] - 0s 5ms/step
Epoch 1/30
2/2 [==============================] - 0s 65ms/step - loss: 181742.6719 - val_loss: 80785.3047
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 181721.1719 - val_loss: 80760.6953
Epoch 3/30
2/2 [==============================] - 0s 49ms/step - loss: 181678.1875 - val_loss: 80751.9844
Epoch 4/30
2/2 [==============================] - 0s 61ms/step - loss: 181612.5312 - val_loss: 80716.2891
Epoch 5/30
2/2 [==============================] - 0s 49ms/step - loss: 181589.1406 - val_loss: 80658.3359
Epoch 6/30
2/2 [==============================] - 0s 36ms/step - loss: 181527.8125 - val_loss: 80640.5391
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 181495.2656 - val_loss: 80607.8906
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 181455.4219 - val_loss: 80514.8516
Epoch 9/30
2/2 [==============================] - 0s 35ms/step - loss: 181502.8594 - val_loss: 80451.8672
Epoch 10/30
2/2 [==============================] - 0s 33ms/step - loss: 181440.5156 - val_loss: 80384.5859
Epoch 11/30
2/2 [==============================] - 0s 33ms/step - loss: 181334.7656 - val_loss: 80330.4766
Epoch 12/30
2/2 [==============================] - 0s 36ms/step - loss: 181300.8906 - val_loss: 80355.1641
Epoch 13/30
2/2 [==============================] - 0s 38ms/step - loss: 181291.1562 - val_loss: 80364.8047
Epoch 14/30
2/2 [==============================] - 0s 37ms/step - loss: 181215.9688 - val_loss: 80339.4297
Epoch 15/30
2/2 [==============================] - 0s 46ms/step - loss: 181130.4844 - val_loss: 80302.6406
Epoch 16/30
2/2 [==============================] - 0s 48ms/step - loss: 181072.3906 - val_loss: 80293.6172
Epoch 17/30
2/2 [==============================] - 0s 41ms/step - loss: 181155.3281 - val_loss: 80262.6406
Epoch 18/30
2/2 [==============================] - 0s 45ms/step - loss: 181011.3125 - val_loss: 80218.3906
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 180950.3125 - val_loss: 80228.7109
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 180897.7031 - val_loss: 80189.6094
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 180892.4688 - val_loss: 80122.0000
Epoch 22/30
2/2 [==============================] - 0s 42ms/step - loss: 180829.0469 - val_loss: 80108.2656
Epoch 23/30
2/2 [==============================] - 0s 39ms/step - loss: 180794.3594 - val_loss: 80112.5781
Epoch 24/30
2/2 [==============================] - 0s 53ms/step - loss: 180732.9531 - val_loss: 80124.5234
Epoch 25/30
2/2 [==============================] - 0s 46ms/step - loss: 180805.4219 - val_loss: 80190.0234
Epoch 26/30
2/2 [==============================] - 0s 38ms/step - loss: 180631.7969 - val_loss: 80136.1406
Epoch 27/30
2/2 [==============================] - 0s 38ms/step - loss: 180607.8125 - val_loss: 80142.5469
Epoch 28/30
2/2 [==============================] - 0s 39ms/step - loss: 180571.6250 - val_loss: 80149.5859
Epoch 29/30
2/2 [==============================] - 0s 36ms/step - loss: 180595.1094 - val_loss: 80155.3906
Epoch 30/30
2/2 [==============================] - 0s 31ms/step - loss: 180460.1250 - val_loss: 80070.7109
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 112ms/step - loss: 180475.6250 - val_loss: 80086.6953
Epoch 2/30
2/2 [==============================] - 0s 34ms/step - loss: 180399.7812 - val_loss: 80047.6484
Epoch 3/30
2/2 [==============================] - 0s 41ms/step - loss: 180323.1250 - val_loss: 79986.2656
Epoch 4/30
2/2 [==============================] - 0s 39ms/step - loss: 180282.9844 - val_loss: 79916.8047
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 180272.7344 - val_loss: 79816.1641
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 180232.9844 - val_loss: 79715.8828
Epoch 7/30
2/2 [==============================] - 0s 33ms/step - loss: 180174.5469 - val_loss: 79667.8828
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 180116.4375 - val_loss: 79618.7969
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 180059.2656 - val_loss: 79595.9375
Epoch 10/30
2/2 [==============================] - 0s 32ms/step - loss: 180054.5781 - val_loss: 79621.8906
Epoch 11/30
2/2 [==============================] - 0s 30ms/step - loss: 180041.8750 - val_loss: 79661.0391
Epoch 12/30
2/2 [==============================] - 0s 33ms/step - loss: 179974.0625 - val_loss: 79666.7109
Epoch 13/30
2/2 [==============================] - 0s 31ms/step - loss: 179885.8125 - val_loss: 79592.6094
Epoch 14/30
2/2 [==============================] - 0s 32ms/step - loss: 179926.2969 - val_loss: 79576.7109
Epoch 15/30
2/2 [==============================] - 0s 43ms/step - loss: 179815.0000 - val_loss: 79560.3750
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 179756.0000 - val_loss: 79487.9219
Epoch 17/30
2/2 [==============================] - 0s 35ms/step - loss: 179707.3750 - val_loss: 79429.9219
Epoch 18/30
2/2 [==============================] - 0s 41ms/step - loss: 179682.9531 - val_loss: 79391.1953
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 179753.7812 - val_loss: 79277.5391
Epoch 20/30
2/2 [==============================] - 0s 36ms/step - loss: 179666.8125 - val_loss: 79190.2891
Epoch 21/30
2/2 [==============================] - 0s 39ms/step - loss: 179542.0938 - val_loss: 79174.8203
Epoch 22/30
2/2 [==============================] - 0s 34ms/step - loss: 179501.4531 - val_loss: 79207.2969
Epoch 23/30
2/2 [==============================] - 0s 40ms/step - loss: 179553.5469 - val_loss: 79196.5156
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 179397.1719 - val_loss: 79191.5000
Epoch 25/30
2/2 [==============================] - 0s 32ms/step - loss: 179408.0938 - val_loss: 79231.1797
Epoch 26/30
2/2 [==============================] - 0s 34ms/step - loss: 179366.3906 - val_loss: 79169.2344
Epoch 27/30
2/2 [==============================] - 0s 31ms/step - loss: 179275.0156 - val_loss: 79133.2656
Epoch 28/30
2/2 [==============================] - 0s 37ms/step - loss: 179267.9219 - val_loss: 79162.8594
Epoch 29/30
2/2 [==============================] - 0s 36ms/step - loss: 179230.3438 - val_loss: 79169.2109
Epoch 30/30
2/2 [==============================] - 0s 30ms/step - loss: 179146.0625 - val_loss: 79151.5156
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 77ms/step - loss: 179100.7500 - val_loss: 79109.8359
Epoch 2/30
2/2 [==============================] - 0s 54ms/step - loss: 179078.4375 - val_loss: 79108.3047
Epoch 3/30
2/2 [==============================] - 0s 50ms/step - loss: 179031.8125 - val_loss: 79042.7266
Epoch 4/30
2/2 [==============================] - 0s 37ms/step - loss: 179024.8750 - val_loss: 79049.5469
Epoch 5/30
2/2 [==============================] - 0s 39ms/step - loss: 179029.6719 - val_loss: 79065.2344
Epoch 6/30
2/2 [==============================] - 0s 33ms/step - loss: 178885.3281 - val_loss: 79038.6797
Epoch 7/30
2/2 [==============================] - 0s 37ms/step - loss: 178894.6094 - val_loss: 78986.6172
Epoch 8/30
2/2 [==============================] - 0s 51ms/step - loss: 178797.8750 - val_loss: 78970.0156
Epoch 9/30
2/2 [==============================] - 0s 45ms/step - loss: 178758.3438 - val_loss: 78930.3906
Epoch 10/30
2/2 [==============================] - 0s 68ms/step - loss: 178705.2344 - val_loss: 78901.0703
Epoch 11/30
2/2 [==============================] - 0s 48ms/step - loss: 178690.7031 - val_loss: 78868.6953
Epoch 12/30
2/2 [==============================] - 0s 40ms/step - loss: 178620.6094 - val_loss: 78809.1797
Epoch 13/30
2/2 [==============================] - 0s 40ms/step - loss: 178578.9531 - val_loss: 78743.0547
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 178526.9375 - val_loss: 78666.0625
Epoch 15/30
2/2 [==============================] - 0s 43ms/step - loss: 178478.6719 - val_loss: 78622.6797
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 178433.5469 - val_loss: 78592.7344
Epoch 17/30
2/2 [==============================] - 0s 31ms/step - loss: 178401.9688 - val_loss: 78557.0547
Epoch 18/30
2/2 [==============================] - 0s 34ms/step - loss: 178368.1562 - val_loss: 78548.4141
Epoch 19/30
2/2 [==============================] - 0s 37ms/step - loss: 178325.4844 - val_loss: 78545.8984
Epoch 20/30
2/2 [==============================] - 0s 36ms/step - loss: 178285.9844 - val_loss: 78454.8203
Epoch 21/30
2/2 [==============================] - 0s 34ms/step - loss: 178270.0625 - val_loss: 78461.8203
Epoch 22/30
2/2 [==============================] - 0s 39ms/step - loss: 178228.0781 - val_loss: 78387.7344
Epoch 23/30
2/2 [==============================] - 0s 32ms/step - loss: 178128.2188 - val_loss: 78373.5469
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 178173.7500 - val_loss: 78328.5625
Epoch 25/30
2/2 [==============================] - 0s 32ms/step - loss: 178070.1562 - val_loss: 78334.0859
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 178026.2656 - val_loss: 78329.7578
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 178009.1719 - val_loss: 78337.2422
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 177958.1562 - val_loss: 78329.7891
Epoch 29/30
2/2 [==============================] - 0s 75ms/step - loss: 177880.0000 - val_loss: 78297.6016
Epoch 30/30
2/2 [==============================] - 0s 45ms/step - loss: 177844.4375 - val_loss: 78225.0000
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 63ms/step - loss: 177808.6406 - val_loss: 78149.5859
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 177738.2969 - val_loss: 78124.4375
Epoch 3/30
2/2 [==============================] - 0s 31ms/step - loss: 177754.7344 - val_loss: 78089.8047
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 177697.0156 - val_loss: 78043.7734
Epoch 5/30
2/2 [==============================] - 0s 32ms/step - loss: 177607.6562 - val_loss: 78055.1250
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 177566.8594 - val_loss: 78007.2344
Epoch 7/30
2/2 [==============================] - 0s 30ms/step - loss: 177592.2500 - val_loss: 77964.1641
Epoch 8/30
2/2 [==============================] - 0s 38ms/step - loss: 177474.9219 - val_loss: 77918.6797
Epoch 9/30
2/2 [==============================] - 0s 33ms/step - loss: 177442.2031 - val_loss: 77941.6094
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 177398.6406 - val_loss: 77950.2656
Epoch 11/30
2/2 [==============================] - 0s 30ms/step - loss: 177368.8594 - val_loss: 77923.2500
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 177284.4375 - val_loss: 77892.5000
Epoch 13/30
2/2 [==============================] - 0s 30ms/step - loss: 177258.2812 - val_loss: 77839.7891
Epoch 14/30
2/2 [==============================] - 0s 46ms/step - loss: 177208.8906 - val_loss: 77800.7734
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 177186.0000 - val_loss: 77739.0234
Epoch 16/30
2/2 [==============================] - 0s 42ms/step - loss: 177162.1250 - val_loss: 77737.1641
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 177133.0781 - val_loss: 77776.2266
Epoch 18/30
2/2 [==============================] - 0s 37ms/step - loss: 177053.6875 - val_loss: 77802.5859
Epoch 19/30
2/2 [==============================] - 0s 31ms/step - loss: 177038.3750 - val_loss: 77827.2500
Epoch 20/30
2/2 [==============================] - 0s 41ms/step - loss: 177049.6250 - val_loss: 77844.7266
Epoch 21/30
2/2 [==============================] - 0s 48ms/step - loss: 176902.7500 - val_loss: 77757.1328
Epoch 22/30
2/2 [==============================] - 0s 38ms/step - loss: 176847.9062 - val_loss: 77723.7344
Epoch 23/30
2/2 [==============================] - 0s 32ms/step - loss: 176911.9688 - val_loss: 77592.2891
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 176821.0781 - val_loss: 77579.3516
Epoch 25/30
2/2 [==============================] - 0s 34ms/step - loss: 176745.0781 - val_loss: 77552.3203
Epoch 26/30
2/2 [==============================] - 0s 43ms/step - loss: 176669.7188 - val_loss: 77536.8594
Epoch 27/30
2/2 [==============================] - 0s 35ms/step - loss: 176739.6094 - val_loss: 77446.7109
Epoch 28/30
2/2 [==============================] - 0s 33ms/step - loss: 176624.0938 - val_loss: 77462.3516
Epoch 29/30
2/2 [==============================] - 0s 43ms/step - loss: 176547.7812 - val_loss: 77415.1250
Epoch 30/30
2/2 [==============================] - 0s 36ms/step - loss: 176496.9531 - val_loss: 77399.5859
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 73ms/step - loss: 176482.5781 - val_loss: 77407.3984
Epoch 2/30
2/2 [==============================] - 0s 34ms/step - loss: 176410.8594 - val_loss: 77368.0781
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 176449.6094 - val_loss: 77320.3359
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 176322.7188 - val_loss: 77295.3906
Epoch 5/30
2/2 [==============================] - 0s 35ms/step - loss: 176307.4531 - val_loss: 77277.6016
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 176231.5469 - val_loss: 77256.1797
Epoch 7/30
2/2 [==============================] - 0s 42ms/step - loss: 176222.2188 - val_loss: 77258.8594
Epoch 8/30
2/2 [==============================] - 0s 36ms/step - loss: 176167.8281 - val_loss: 77272.0859
Epoch 9/30
2/2 [==============================] - 0s 33ms/step - loss: 176148.6719 - val_loss: 77252.1719
Epoch 10/30
2/2 [==============================] - 0s 43ms/step - loss: 176083.5156 - val_loss: 77212.6094
Epoch 11/30
2/2 [==============================] - 0s 37ms/step - loss: 176023.9062 - val_loss: 77163.9844
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 175999.8750 - val_loss: 77178.0156
Epoch 13/30
2/2 [==============================] - 0s 36ms/step - loss: 175972.3438 - val_loss: 77079.1484
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 175943.9688 - val_loss: 77045.7344
Epoch 15/30
2/2 [==============================] - 0s 37ms/step - loss: 175860.1562 - val_loss: 77056.1328
Epoch 16/30
2/2 [==============================] - 0s 44ms/step - loss: 175792.5469 - val_loss: 77020.0547
Epoch 17/30
2/2 [==============================] - 0s 45ms/step - loss: 175777.2656 - val_loss: 76944.8047
Epoch 18/30
2/2 [==============================] - 0s 35ms/step - loss: 175790.9219 - val_loss: 76840.0156
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 175719.2031 - val_loss: 76773.9844
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 175626.5156 - val_loss: 76739.2891
Epoch 21/30
2/2 [==============================] - 0s 35ms/step - loss: 175660.0156 - val_loss: 76768.5391
Epoch 22/30
2/2 [==============================] - 0s 39ms/step - loss: 175537.4375 - val_loss: 76756.2500
Epoch 23/30
2/2 [==============================] - 0s 36ms/step - loss: 175488.5156 - val_loss: 76770.6875
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 175549.0625 - val_loss: 76795.2656
Epoch 25/30
2/2 [==============================] - 0s 35ms/step - loss: 175505.6250 - val_loss: 76774.6641
Epoch 26/30
2/2 [==============================] - 0s 39ms/step - loss: 175344.9375 - val_loss: 76726.4453
Epoch 27/30
2/2 [==============================] - 0s 39ms/step - loss: 175315.7500 - val_loss: 76659.9453
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 175285.3281 - val_loss: 76641.6328
Epoch 29/30
2/2 [==============================] - 0s 40ms/step - loss: 175278.0938 - val_loss: 76595.3750
Epoch 30/30
2/2 [==============================] - 0s 43ms/step - loss: 175209.6562 - val_loss: 76593.6641
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 68ms/step - loss: 175186.6250 - val_loss: 76623.8672
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 175074.9062 - val_loss: 76594.4297
Epoch 3/30
2/2 [==============================] - 0s 39ms/step - loss: 175059.9688 - val_loss: 76518.3047
Epoch 4/30
2/2 [==============================] - 0s 30ms/step - loss: 175034.5625 - val_loss: 76539.0156
Epoch 5/30
2/2 [==============================] - 0s 38ms/step - loss: 175007.9531 - val_loss: 76494.1641
Epoch 6/30
2/2 [==============================] - 0s 35ms/step - loss: 174897.6562 - val_loss: 76466.6875
Epoch 7/30
2/2 [==============================] - 0s 37ms/step - loss: 174910.6094 - val_loss: 76365.1250
Epoch 8/30
2/2 [==============================] - 0s 45ms/step - loss: 174821.7344 - val_loss: 76322.6094
Epoch 9/30
2/2 [==============================] - 0s 51ms/step - loss: 174761.4219 - val_loss: 76298.3359
Epoch 10/30
2/2 [==============================] - 0s 64ms/step - loss: 174721.3906 - val_loss: 76246.1406
Epoch 11/30
2/2 [==============================] - 0s 52ms/step - loss: 174696.0625 - val_loss: 76245.5000
Epoch 12/30
2/2 [==============================] - 0s 59ms/step - loss: 174645.6250 - val_loss: 76231.4141
Epoch 13/30
2/2 [==============================] - 0s 48ms/step - loss: 174675.1406 - val_loss: 76230.7344
Epoch 14/30
2/2 [==============================] - 0s 49ms/step - loss: 174553.4531 - val_loss: 76182.3828
Epoch 15/30
2/2 [==============================] - 0s 44ms/step - loss: 174514.8594 - val_loss: 76170.7031
Epoch 16/30
2/2 [==============================] - 0s 45ms/step - loss: 174516.9688 - val_loss: 76142.9766
Epoch 17/30
2/2 [==============================] - 0s 47ms/step - loss: 174438.1562 - val_loss: 76142.0156
Epoch 18/30
2/2 [==============================] - 0s 50ms/step - loss: 174449.3281 - val_loss: 76145.0547
Epoch 19/30
2/2 [==============================] - 0s 46ms/step - loss: 174326.2188 - val_loss: 76103.7109
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 174305.6250 - val_loss: 76001.1797
Epoch 21/30
2/2 [==============================] - 0s 47ms/step - loss: 174352.7969 - val_loss: 75872.6719
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 174279.0156 - val_loss: 75904.6641
Epoch 23/30
2/2 [==============================] - 0s 45ms/step - loss: 174190.5156 - val_loss: 75920.3281
Epoch 24/30
2/2 [==============================] - 0s 45ms/step - loss: 174101.1719 - val_loss: 75882.6094
Epoch 25/30
2/2 [==============================] - 0s 45ms/step - loss: 174082.9219 - val_loss: 75795.3750
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 174036.2500 - val_loss: 75738.5703
Epoch 27/30
2/2 [==============================] - 0s 44ms/step - loss: 174020.7812 - val_loss: 75720.0000
Epoch 28/30
2/2 [==============================] - 0s 42ms/step - loss: 173949.9062 - val_loss: 75698.2500
Epoch 29/30
2/2 [==============================] - 0s 46ms/step - loss: 173957.6875 - val_loss: 75644.2109
Epoch 30/30
2/2 [==============================] - 0s 45ms/step - loss: 173840.2188 - val_loss: 75628.4297
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 101ms/step - loss: 173815.2969 - val_loss: 75613.5156
Epoch 2/30
2/2 [==============================] - 0s 43ms/step - loss: 173755.9844 - val_loss: 75603.8047
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 173754.2188 - val_loss: 75521.0156
Epoch 4/30
2/2 [==============================] - 0s 46ms/step - loss: 173729.7188 - val_loss: 75556.3047
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 173621.8906 - val_loss: 75547.7031
Epoch 6/30
2/2 [==============================] - 0s 46ms/step - loss: 173636.8281 - val_loss: 75526.6094
Epoch 7/30
2/2 [==============================] - 0s 45ms/step - loss: 173549.6719 - val_loss: 75526.1406
Epoch 8/30
2/2 [==============================] - 0s 46ms/step - loss: 173543.3281 - val_loss: 75522.9375
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 173480.1250 - val_loss: 75433.4922
Epoch 10/30
2/2 [==============================] - 0s 49ms/step - loss: 173497.6094 - val_loss: 75444.8359
Epoch 11/30
2/2 [==============================] - 0s 49ms/step - loss: 173381.2656 - val_loss: 75393.4219
Epoch 12/30
2/2 [==============================] - 0s 46ms/step - loss: 173315.3906 - val_loss: 75350.4609
Epoch 13/30
2/2 [==============================] - 0s 56ms/step - loss: 173265.4844 - val_loss: 75330.3828
Epoch 14/30
2/2 [==============================] - 0s 50ms/step - loss: 173233.4531 - val_loss: 75284.2891
Epoch 15/30
2/2 [==============================] - 0s 45ms/step - loss: 173233.8281 - val_loss: 75303.8594
Epoch 16/30
2/2 [==============================] - 0s 47ms/step - loss: 173144.2031 - val_loss: 75237.9453
Epoch 17/30
2/2 [==============================] - 0s 46ms/step - loss: 173107.3438 - val_loss: 75250.0859
Epoch 18/30
2/2 [==============================] - 0s 48ms/step - loss: 173097.0781 - val_loss: 75172.1406
Epoch 19/30
2/2 [==============================] - 0s 47ms/step - loss: 173104.2812 - val_loss: 75143.2734
Epoch 20/30
2/2 [==============================] - 0s 50ms/step - loss: 172972.1875 - val_loss: 75103.4375
Epoch 21/30
2/2 [==============================] - 0s 50ms/step - loss: 173005.2656 - val_loss: 75110.3594
Epoch 22/30
2/2 [==============================] - 0s 50ms/step - loss: 172930.0781 - val_loss: 75107.8906
Epoch 23/30
2/2 [==============================] - 0s 47ms/step - loss: 172827.1250 - val_loss: 75087.5391
Epoch 24/30
2/2 [==============================] - 0s 50ms/step - loss: 172798.9375 - val_loss: 75034.5703
Epoch 25/30
2/2 [==============================] - 0s 48ms/step - loss: 172778.2500 - val_loss: 75028.1172
Epoch 26/30
2/2 [==============================] - 0s 50ms/step - loss: 172851.3594 - val_loss: 75006.6250
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 172679.5625 - val_loss: 74929.0781
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 172638.9844 - val_loss: 74956.0156
Epoch 29/30
2/2 [==============================] - 0s 47ms/step - loss: 172599.8438 - val_loss: 74975.6250
Epoch 30/30
2/2 [==============================] - 0s 47ms/step - loss: 172519.8125 - val_loss: 74943.4297
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 99ms/step - loss: 172470.8906 - val_loss: 74883.8750
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 172454.8281 - val_loss: 74837.1016
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 172384.7344 - val_loss: 74798.7344
Epoch 4/30
2/2 [==============================] - 0s 45ms/step - loss: 172353.0781 - val_loss: 74789.9297
Epoch 5/30
2/2 [==============================] - 0s 46ms/step - loss: 172305.5312 - val_loss: 74721.8281
Epoch 6/30
2/2 [==============================] - 0s 43ms/step - loss: 172299.9219 - val_loss: 74738.2031
Epoch 7/30
2/2 [==============================] - 0s 45ms/step - loss: 172207.3125 - val_loss: 74695.8438
Epoch 8/30
2/2 [==============================] - 0s 43ms/step - loss: 172176.6094 - val_loss: 74637.8203
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 172122.0938 - val_loss: 74583.0938
Epoch 10/30
2/2 [==============================] - 0s 47ms/step - loss: 172115.3281 - val_loss: 74543.3828
Epoch 11/30
2/2 [==============================] - 0s 50ms/step - loss: 172085.2969 - val_loss: 74513.6406
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 172090.1250 - val_loss: 74558.9375
Epoch 13/30
2/2 [==============================] - 0s 49ms/step - loss: 171953.0156 - val_loss: 74505.5234
Epoch 14/30
2/2 [==============================] - 0s 52ms/step - loss: 171893.8750 - val_loss: 74472.8672
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 171885.6094 - val_loss: 74404.1797
Epoch 16/30
2/2 [==============================] - 0s 39ms/step - loss: 171831.9062 - val_loss: 74416.3125
Epoch 17/30
2/2 [==============================] - 0s 47ms/step - loss: 171806.9531 - val_loss: 74391.4609
Epoch 18/30
2/2 [==============================] - 0s 48ms/step - loss: 171715.9219 - val_loss: 74355.3594
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 171682.4062 - val_loss: 74311.4297
Epoch 20/30
2/2 [==============================] - 0s 59ms/step - loss: 171643.6250 - val_loss: 74311.6797
Epoch 21/30
2/2 [==============================] - 0s 51ms/step - loss: 171614.3438 - val_loss: 74317.2578
Epoch 22/30
2/2 [==============================] - 0s 38ms/step - loss: 171566.3125 - val_loss: 74274.4453
Epoch 23/30
2/2 [==============================] - 0s 52ms/step - loss: 171562.8906 - val_loss: 74165.2422
Epoch 24/30
2/2 [==============================] - 0s 47ms/step - loss: 171513.3438 - val_loss: 74154.4688
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 171486.1562 - val_loss: 74111.1016
Epoch 26/30
2/2 [==============================] - 0s 38ms/step - loss: 171395.2969 - val_loss: 74094.7109
Epoch 27/30
2/2 [==============================] - 0s 41ms/step - loss: 171346.0625 - val_loss: 74065.6094
Epoch 28/30
2/2 [==============================] - 0s 33ms/step - loss: 171278.4375 - val_loss: 74050.0469
Epoch 29/30
2/2 [==============================] - 0s 36ms/step - loss: 171268.0938 - val_loss: 73978.4219
Epoch 30/30
2/2 [==============================] - 0s 39ms/step - loss: 171241.1875 - val_loss: 73964.8203
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 90ms/step - loss: 171184.9219 - val_loss: 73934.5000
Epoch 2/30
2/2 [==============================] - 0s 48ms/step - loss: 171114.0781 - val_loss: 73894.3750
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 171081.7188 - val_loss: 73923.7656
Epoch 4/30
2/2 [==============================] - 0s 45ms/step - loss: 171038.1719 - val_loss: 73935.7109
Epoch 5/30
2/2 [==============================] - 0s 44ms/step - loss: 170978.4062 - val_loss: 73937.5469
Epoch 6/30
2/2 [==============================] - 0s 44ms/step - loss: 170970.0938 - val_loss: 73921.0781
Epoch 7/30
2/2 [==============================] - 0s 52ms/step - loss: 170917.3906 - val_loss: 73905.8516
Epoch 8/30
2/2 [==============================] - 0s 45ms/step - loss: 170867.5625 - val_loss: 73906.5234
Epoch 9/30
2/2 [==============================] - 0s 47ms/step - loss: 170807.6250 - val_loss: 73839.9375
Epoch 10/30
2/2 [==============================] - 0s 52ms/step - loss: 170753.6406 - val_loss: 73805.0859
Epoch 11/30
2/2 [==============================] - 0s 57ms/step - loss: 170806.8125 - val_loss: 73739.5625
Epoch 12/30
2/2 [==============================] - 0s 45ms/step - loss: 170698.0938 - val_loss: 73750.3906
Epoch 13/30
2/2 [==============================] - 0s 45ms/step - loss: 170668.8281 - val_loss: 73715.8828
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 170624.9219 - val_loss: 73706.7188
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 170534.6250 - val_loss: 73661.0156
Epoch 16/30
2/2 [==============================] - 0s 38ms/step - loss: 170493.3594 - val_loss: 73589.3516
Epoch 17/30
2/2 [==============================] - 0s 41ms/step - loss: 170458.1875 - val_loss: 73594.8750
Epoch 18/30
2/2 [==============================] - 0s 56ms/step - loss: 170387.4219 - val_loss: 73563.6172
Epoch 19/30
2/2 [==============================] - 0s 50ms/step - loss: 170406.4375 - val_loss: 73538.6094
Epoch 20/30
2/2 [==============================] - 0s 48ms/step - loss: 170347.4688 - val_loss: 73549.5703
Epoch 21/30
2/2 [==============================] - 0s 51ms/step - loss: 170369.5938 - val_loss: 73513.1406
Epoch 22/30
2/2 [==============================] - 0s 50ms/step - loss: 170229.4844 - val_loss: 73465.7500
Epoch 23/30
2/2 [==============================] - 0s 48ms/step - loss: 170183.3438 - val_loss: 73417.3672
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 170148.3750 - val_loss: 73340.0547
Epoch 25/30
2/2 [==============================] - 0s 39ms/step - loss: 170173.9062 - val_loss: 73323.5000
Epoch 26/30
2/2 [==============================] - 0s 42ms/step - loss: 170075.4531 - val_loss: 73316.6016
Epoch 27/30
2/2 [==============================] - 0s 43ms/step - loss: 170050.4375 - val_loss: 73224.2031
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 169956.4219 - val_loss: 73183.5859
Epoch 29/30
2/2 [==============================] - 0s 57ms/step - loss: 169910.7031 - val_loss: 73166.4844
Epoch 30/30
2/2 [==============================] - 0s 55ms/step - loss: 169887.8750 - val_loss: 73127.2578
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 87ms/step - loss: 169814.2812 - val_loss: 73128.6406
Epoch 2/30
2/2 [==============================] - 0s 45ms/step - loss: 169799.9844 - val_loss: 73128.8594
Epoch 3/30
2/2 [==============================] - 0s 41ms/step - loss: 169800.7031 - val_loss: 73058.3906
Epoch 4/30
2/2 [==============================] - 0s 48ms/step - loss: 169712.3438 - val_loss: 73065.2891
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 169645.1562 - val_loss: 73032.9297
Epoch 6/30
2/2 [==============================] - 0s 46ms/step - loss: 169603.0312 - val_loss: 73009.8281
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 169579.8438 - val_loss: 72965.8438
Epoch 8/30
2/2 [==============================] - 0s 49ms/step - loss: 169568.7031 - val_loss: 72919.4922
Epoch 9/30
2/2 [==============================] - 0s 48ms/step - loss: 169458.1562 - val_loss: 72933.2578
Epoch 10/30
2/2 [==============================] - 0s 61ms/step - loss: 169459.0781 - val_loss: 72873.7891
Epoch 11/30
2/2 [==============================] - 0s 57ms/step - loss: 169400.4844 - val_loss: 72859.3984
Epoch 12/30
2/2 [==============================] - 0s 63ms/step - loss: 169374.1875 - val_loss: 72839.6953
Epoch 13/30
2/2 [==============================] - 0s 51ms/step - loss: 169332.4844 - val_loss: 72853.0859
Epoch 14/30
2/2 [==============================] - 0s 45ms/step - loss: 169268.1250 - val_loss: 72829.1172
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 169208.8594 - val_loss: 72796.3438
Epoch 16/30
2/2 [==============================] - 0s 42ms/step - loss: 169173.3594 - val_loss: 72769.8828
Epoch 17/30
2/2 [==============================] - 0s 45ms/step - loss: 169152.3125 - val_loss: 72729.4531
Epoch 18/30
2/2 [==============================] - 0s 46ms/step - loss: 169074.4531 - val_loss: 72774.4922
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 169066.6094 - val_loss: 72837.8984
Epoch 20/30
2/2 [==============================] - 0s 41ms/step - loss: 168971.8125 - val_loss: 72798.6172
Epoch 21/30
2/2 [==============================] - 0s 55ms/step - loss: 169018.0625 - val_loss: 72826.4297
Epoch 22/30
2/2 [==============================] - 0s 50ms/step - loss: 168935.2969 - val_loss: 72804.1016
Epoch 23/30
2/2 [==============================] - 0s 51ms/step - loss: 168844.4688 - val_loss: 72762.8047
Epoch 24/30
2/2 [==============================] - 0s 51ms/step - loss: 168832.8594 - val_loss: 72707.7578
Epoch 25/30
2/2 [==============================] - 0s 50ms/step - loss: 168754.8281 - val_loss: 72665.4219
Epoch 26/30
2/2 [==============================] - 0s 49ms/step - loss: 168804.2188 - val_loss: 72644.4766
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 168676.6875 - val_loss: 72575.3359
Epoch 28/30
2/2 [==============================] - 0s 61ms/step - loss: 168627.3594 - val_loss: 72515.0547
Epoch 29/30
2/2 [==============================] - 0s 55ms/step - loss: 168566.3906 - val_loss: 72496.2734
Epoch 30/30
2/2 [==============================] - 0s 53ms/step - loss: 168531.4219 - val_loss: 72484.3047
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 98ms/step - loss: 168494.0156 - val_loss: 72428.4375
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 168436.0938 - val_loss: 72391.7891
Epoch 3/30
2/2 [==============================] - 0s 62ms/step - loss: 168388.1562 - val_loss: 72386.2266
Epoch 4/30
2/2 [==============================] - 0s 93ms/step - loss: 168375.6250 - val_loss: 72403.5547
Epoch 5/30
2/2 [==============================] - 0s 64ms/step - loss: 168343.7031 - val_loss: 72408.3906
Epoch 6/30
2/2 [==============================] - 0s 61ms/step - loss: 168288.7812 - val_loss: 72321.8984
Epoch 7/30
2/2 [==============================] - 0s 62ms/step - loss: 168214.9219 - val_loss: 72275.0391
Epoch 8/30
2/2 [==============================] - 0s 77ms/step - loss: 168174.0000 - val_loss: 72222.1406
Epoch 9/30
2/2 [==============================] - 0s 67ms/step - loss: 168124.2188 - val_loss: 72204.4219
Epoch 10/30
2/2 [==============================] - 0s 67ms/step - loss: 168076.4375 - val_loss: 72173.9453
Epoch 11/30
2/2 [==============================] - 0s 66ms/step - loss: 168034.8594 - val_loss: 72147.1094
Epoch 12/30
2/2 [==============================] - 0s 73ms/step - loss: 167987.9688 - val_loss: 72126.9922
Epoch 13/30
2/2 [==============================] - 0s 68ms/step - loss: 167979.3281 - val_loss: 72137.6094
Epoch 14/30
2/2 [==============================] - 0s 66ms/step - loss: 167964.7969 - val_loss: 72090.5781
Epoch 15/30
2/2 [==============================] - 0s 63ms/step - loss: 167942.8281 - val_loss: 72040.2734
Epoch 16/30
2/2 [==============================] - 0s 57ms/step - loss: 167878.7344 - val_loss: 71933.3047
Epoch 17/30
2/2 [==============================] - 0s 62ms/step - loss: 167774.2969 - val_loss: 71939.5000
Epoch 18/30
2/2 [==============================] - 0s 57ms/step - loss: 167788.6875 - val_loss: 71975.2344
Epoch 19/30
2/2 [==============================] - 0s 83ms/step - loss: 167684.1719 - val_loss: 71936.8672
Epoch 20/30
2/2 [==============================] - 0s 62ms/step - loss: 167704.0938 - val_loss: 71956.3203
Epoch 21/30
2/2 [==============================] - 0s 54ms/step - loss: 167658.0000 - val_loss: 71914.2656
Epoch 22/30
2/2 [==============================] - 0s 54ms/step - loss: 167548.7344 - val_loss: 71879.0859
Epoch 23/30
2/2 [==============================] - 0s 62ms/step - loss: 167605.9062 - val_loss: 71773.5000
Epoch 24/30
2/2 [==============================] - 0s 57ms/step - loss: 167463.7812 - val_loss: 71759.4609
Epoch 25/30
2/2 [==============================] - 0s 52ms/step - loss: 167425.0156 - val_loss: 71720.3203
Epoch 26/30
2/2 [==============================] - 0s 56ms/step - loss: 167426.0312 - val_loss: 71625.9062
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 167313.4844 - val_loss: 71611.6797
Epoch 28/30
2/2 [==============================] - 0s 56ms/step - loss: 167270.4688 - val_loss: 71591.7344
Epoch 29/30
2/2 [==============================] - 0s 61ms/step - loss: 167256.5781 - val_loss: 71581.4531
Epoch 30/30
2/2 [==============================] - 0s 46ms/step - loss: 167255.4688 - val_loss: 71551.9297
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 101ms/step - loss: 167149.7500 - val_loss: 71517.1562
Epoch 2/30
2/2 [==============================] - 0s 56ms/step - loss: 167093.2500 - val_loss: 71503.2891
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 167152.7031 - val_loss: 71456.2656
Epoch 4/30
2/2 [==============================] - 0s 53ms/step - loss: 167058.7344 - val_loss: 71459.3672
Epoch 5/30
2/2 [==============================] - 0s 50ms/step - loss: 166995.0312 - val_loss: 71398.3750
Epoch 6/30
2/2 [==============================] - 0s 47ms/step - loss: 166987.1719 - val_loss: 71313.6094
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 166995.1406 - val_loss: 71254.3828
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 166842.7656 - val_loss: 71230.1172
Epoch 9/30
2/2 [==============================] - 0s 36ms/step - loss: 166774.8281 - val_loss: 71204.2969
Epoch 10/30
2/2 [==============================] - 0s 38ms/step - loss: 166736.9219 - val_loss: 71209.8516
Epoch 11/30
2/2 [==============================] - 0s 45ms/step - loss: 166698.9531 - val_loss: 71223.7109
Epoch 12/30
2/2 [==============================] - 0s 41ms/step - loss: 166655.4844 - val_loss: 71228.1406
Epoch 13/30
2/2 [==============================] - 0s 41ms/step - loss: 166626.8594 - val_loss: 71199.6719
Epoch 14/30
2/2 [==============================] - 0s 37ms/step - loss: 166576.2500 - val_loss: 71209.2969
Epoch 15/30
2/2 [==============================] - 0s 54ms/step - loss: 166550.8281 - val_loss: 71225.2109
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 166461.1094 - val_loss: 71164.7734
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 166417.3438 - val_loss: 71135.0859
Epoch 18/30
2/2 [==============================] - 0s 39ms/step - loss: 166373.2344 - val_loss: 71074.7266
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 166364.1875 - val_loss: 71084.7500
Epoch 20/30
2/2 [==============================] - 0s 36ms/step - loss: 166350.5156 - val_loss: 70966.2109
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 166257.9375 - val_loss: 70898.5469
Epoch 22/30
2/2 [==============================] - 0s 42ms/step - loss: 166237.1719 - val_loss: 70910.8516
Epoch 23/30
2/2 [==============================] - 0s 38ms/step - loss: 166171.5312 - val_loss: 70915.4688
Epoch 24/30
2/2 [==============================] - 0s 37ms/step - loss: 166126.0000 - val_loss: 70857.3516
Epoch 25/30
2/2 [==============================] - 0s 48ms/step - loss: 166112.7031 - val_loss: 70802.1406
Epoch 26/30
2/2 [==============================] - 0s 51ms/step - loss: 166121.2656 - val_loss: 70847.8281
Epoch 27/30
2/2 [==============================] - 0s 52ms/step - loss: 165970.4375 - val_loss: 70786.5859
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 165931.3594 - val_loss: 70769.6094
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 165921.8281 - val_loss: 70697.9453
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 165851.3594 - val_loss: 70664.0156
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 92ms/step - loss: 165812.0625 - val_loss: 70653.0234
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 165755.7031 - val_loss: 70636.5469
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 165742.1875 - val_loss: 70570.0547
Epoch 4/30
2/2 [==============================] - 0s 42ms/step - loss: 165675.1719 - val_loss: 70525.2656
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 165631.9688 - val_loss: 70483.1406
Epoch 6/30
2/2 [==============================] - 0s 42ms/step - loss: 165575.0781 - val_loss: 70461.8359
Epoch 7/30
2/2 [==============================] - 0s 38ms/step - loss: 165544.6406 - val_loss: 70429.8594
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 165489.6875 - val_loss: 70449.4766
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 165448.5781 - val_loss: 70399.8672
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 165403.5156 - val_loss: 70388.4141
Epoch 11/30
2/2 [==============================] - 0s 48ms/step - loss: 165338.3750 - val_loss: 70364.4219
Epoch 12/30
2/2 [==============================] - 0s 56ms/step - loss: 165337.5938 - val_loss: 70313.7344
Epoch 13/30
2/2 [==============================] - 0s 55ms/step - loss: 165264.6719 - val_loss: 70272.1953
Epoch 14/30
2/2 [==============================] - 0s 50ms/step - loss: 165199.9531 - val_loss: 70271.1016
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 165199.1406 - val_loss: 70266.1875
Epoch 16/30
2/2 [==============================] - 0s 48ms/step - loss: 165199.8125 - val_loss: 70288.4062
Epoch 17/30
2/2 [==============================] - 0s 39ms/step - loss: 165099.4219 - val_loss: 70233.3047
Epoch 18/30
2/2 [==============================] - 0s 36ms/step - loss: 165072.5156 - val_loss: 70288.5078
Epoch 19/30
2/2 [==============================] - 0s 35ms/step - loss: 165015.8438 - val_loss: 70239.8516
Epoch 20/30
2/2 [==============================] - 0s 35ms/step - loss: 165064.2031 - val_loss: 70276.7656
Epoch 21/30
2/2 [==============================] - 0s 34ms/step - loss: 164894.8125 - val_loss: 70245.2578
Epoch 22/30
2/2 [==============================] - 0s 32ms/step - loss: 164843.1875 - val_loss: 70232.2031
Epoch 23/30
2/2 [==============================] - 0s 32ms/step - loss: 164816.3438 - val_loss: 70206.5859
Epoch 24/30
2/2 [==============================] - 0s 32ms/step - loss: 164754.2500 - val_loss: 70193.2734
Epoch 25/30
2/2 [==============================] - 0s 36ms/step - loss: 164717.7500 - val_loss: 70173.1406
Epoch 26/30
2/2 [==============================] - 0s 37ms/step - loss: 164695.3594 - val_loss: 70078.2969
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 164621.1094 - val_loss: 70044.0156
Epoch 28/30
2/2 [==============================] - 0s 35ms/step - loss: 164569.7188 - val_loss: 70010.1016
Epoch 29/30
2/2 [==============================] - 0s 33ms/step - loss: 164585.6875 - val_loss: 69947.3047
Epoch 30/30
2/2 [==============================] - 0s 44ms/step - loss: 164494.8125 - val_loss: 69880.8906
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 65ms/step - loss: 164515.2031 - val_loss: 69871.1953
Epoch 2/30
2/2 [==============================] - 0s 31ms/step - loss: 164447.2656 - val_loss: 69911.2891
Epoch 3/30
2/2 [==============================] - 0s 28ms/step - loss: 164339.0781 - val_loss: 69879.3359
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 164327.2344 - val_loss: 69831.7891
Epoch 5/30
2/2 [==============================] - 0s 35ms/step - loss: 164290.5781 - val_loss: 69810.3047
Epoch 6/30
2/2 [==============================] - 0s 32ms/step - loss: 164230.6094 - val_loss: 69723.6719
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 164190.7656 - val_loss: 69738.4297
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 164260.7188 - val_loss: 69668.4531
Epoch 9/30
2/2 [==============================] - 0s 31ms/step - loss: 164104.6719 - val_loss: 69653.9766
Epoch 10/30
2/2 [==============================] - 0s 30ms/step - loss: 164086.3438 - val_loss: 69589.0703
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 164049.0781 - val_loss: 69571.1562
Epoch 12/30
2/2 [==============================] - 0s 34ms/step - loss: 163964.4844 - val_loss: 69575.8047
Epoch 13/30
2/2 [==============================] - 0s 32ms/step - loss: 163918.6094 - val_loss: 69588.1250
Epoch 14/30
2/2 [==============================] - 0s 35ms/step - loss: 163919.3281 - val_loss: 69606.0781
Epoch 15/30
2/2 [==============================] - 0s 34ms/step - loss: 163806.2812 - val_loss: 69522.6953
Epoch 16/30
2/2 [==============================] - 0s 33ms/step - loss: 163795.6094 - val_loss: 69467.7266
Epoch 17/30
2/2 [==============================] - 0s 33ms/step - loss: 163708.6562 - val_loss: 69411.9219
Epoch 18/30
2/2 [==============================] - 0s 34ms/step - loss: 163693.8750 - val_loss: 69352.0859
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 163626.0938 - val_loss: 69310.1797
Epoch 20/30
2/2 [==============================] - 0s 36ms/step - loss: 163620.2344 - val_loss: 69280.8906
Epoch 21/30
2/2 [==============================] - 0s 56ms/step - loss: 163521.8438 - val_loss: 69227.5469
Epoch 22/30
2/2 [==============================] - 0s 38ms/step - loss: 163514.2188 - val_loss: 69196.3594
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 163469.0469 - val_loss: 69126.0938
Epoch 24/30
2/2 [==============================] - 0s 33ms/step - loss: 163413.3906 - val_loss: 69085.4922
Epoch 25/30
2/2 [==============================] - 0s 34ms/step - loss: 163371.8125 - val_loss: 69036.8125
Epoch 26/30
2/2 [==============================] - 0s 34ms/step - loss: 163441.2812 - val_loss: 68985.5938
Epoch 27/30
2/2 [==============================] - 0s 30ms/step - loss: 163257.2656 - val_loss: 69016.7969
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 163225.2656 - val_loss: 68997.5391
Epoch 29/30
2/2 [==============================] - 0s 30ms/step - loss: 163157.5781 - val_loss: 68989.1719
Epoch 30/30
2/2 [==============================] - 0s 36ms/step - loss: 163135.7656 - val_loss: 68949.2891
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 69ms/step - loss: 163188.9219 - val_loss: 69043.0156
Epoch 2/30
2/2 [==============================] - 0s 32ms/step - loss: 163016.2969 - val_loss: 69033.2031
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 163018.8281 - val_loss: 69038.6328
Epoch 4/30
2/2 [==============================] - 0s 33ms/step - loss: 162955.6875 - val_loss: 69021.2656
Epoch 5/30
2/2 [==============================] - 0s 34ms/step - loss: 162901.2031 - val_loss: 69021.2891
Epoch 6/30
2/2 [==============================] - 0s 32ms/step - loss: 162838.8906 - val_loss: 68975.2578
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 162808.5781 - val_loss: 68927.3281
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 162791.8438 - val_loss: 68926.4141
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 162770.8594 - val_loss: 68843.9453
Epoch 10/30
2/2 [==============================] - 0s 33ms/step - loss: 162771.4531 - val_loss: 68756.9609
Epoch 11/30
2/2 [==============================] - 0s 33ms/step - loss: 162630.6719 - val_loss: 68721.2188
Epoch 12/30
2/2 [==============================] - 0s 39ms/step - loss: 162635.8125 - val_loss: 68772.5234
Epoch 13/30
2/2 [==============================] - 0s 39ms/step - loss: 162518.4688 - val_loss: 68749.8984
Epoch 14/30
2/2 [==============================] - 0s 29ms/step - loss: 162479.6875 - val_loss: 68739.3516
Epoch 15/30
2/2 [==============================] - 0s 34ms/step - loss: 162464.3438 - val_loss: 68718.0234
Epoch 16/30
2/2 [==============================] - 0s 32ms/step - loss: 162401.9219 - val_loss: 68652.1172
Epoch 17/30
2/2 [==============================] - 0s 33ms/step - loss: 162357.6875 - val_loss: 68578.8984
Epoch 18/30
2/2 [==============================] - 0s 30ms/step - loss: 162329.8750 - val_loss: 68582.2891
Epoch 19/30
2/2 [==============================] - 0s 29ms/step - loss: 162270.3750 - val_loss: 68579.4531
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 162201.3594 - val_loss: 68524.8906
Epoch 21/30
2/2 [==============================] - 0s 36ms/step - loss: 162167.8438 - val_loss: 68459.7344
Epoch 22/30
2/2 [==============================] - 0s 39ms/step - loss: 162119.5312 - val_loss: 68412.0156
Epoch 23/30
2/2 [==============================] - 0s 33ms/step - loss: 162089.1406 - val_loss: 68409.1094
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 162043.5312 - val_loss: 68409.2812
Epoch 25/30
2/2 [==============================] - 0s 34ms/step - loss: 161988.1562 - val_loss: 68392.5469
Epoch 26/30
2/2 [==============================] - 0s 50ms/step - loss: 161941.2812 - val_loss: 68333.3047
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 161902.3438 - val_loss: 68325.5234
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 161851.1719 - val_loss: 68268.7109
Epoch 29/30
2/2 [==============================] - 0s 40ms/step - loss: 161789.0156 - val_loss: 68232.6719
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 161801.6250 - val_loss: 68174.8516
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 78ms/step - loss: 161767.1719 - val_loss: 68132.5234
Epoch 2/30
2/2 [==============================] - 0s 38ms/step - loss: 161675.0312 - val_loss: 68085.5703
Epoch 3/30
2/2 [==============================] - 0s 36ms/step - loss: 161627.0469 - val_loss: 68027.4297
Epoch 4/30
2/2 [==============================] - 0s 37ms/step - loss: 161642.5938 - val_loss: 68048.8516
Epoch 5/30
2/2 [==============================] - 0s 35ms/step - loss: 161547.0625 - val_loss: 68072.4297
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 161498.2188 - val_loss: 68012.3047
Epoch 7/30
2/2 [==============================] - 0s 32ms/step - loss: 161447.3906 - val_loss: 68025.3828
Epoch 8/30
2/2 [==============================] - 0s 32ms/step - loss: 161381.1875 - val_loss: 68010.8594
Epoch 9/30
2/2 [==============================] - 0s 32ms/step - loss: 161367.9688 - val_loss: 68027.6016
Epoch 10/30
2/2 [==============================] - 0s 34ms/step - loss: 161320.4375 - val_loss: 68033.2266
Epoch 11/30
2/2 [==============================] - 0s 34ms/step - loss: 161264.2500 - val_loss: 68020.8359
Epoch 12/30
2/2 [==============================] - 0s 31ms/step - loss: 161194.5156 - val_loss: 67946.5391
Epoch 13/30
2/2 [==============================] - 0s 32ms/step - loss: 161144.9844 - val_loss: 67891.9688
Epoch 14/30
2/2 [==============================] - 0s 29ms/step - loss: 161096.9375 - val_loss: 67835.6641
Epoch 15/30
2/2 [==============================] - 0s 34ms/step - loss: 161062.2812 - val_loss: 67776.6484
Epoch 16/30
2/2 [==============================] - 0s 31ms/step - loss: 161044.2500 - val_loss: 67784.5078
Epoch 17/30
2/2 [==============================] - 0s 38ms/step - loss: 160966.2344 - val_loss: 67752.0312
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 160913.1406 - val_loss: 67687.8516
Epoch 19/30
2/2 [==============================] - 0s 31ms/step - loss: 160886.5312 - val_loss: 67664.6328
Epoch 20/30
2/2 [==============================] - 0s 46ms/step - loss: 160940.7031 - val_loss: 67621.7891
Epoch 21/30
2/2 [==============================] - 0s 43ms/step - loss: 160801.5469 - val_loss: 67614.1953
Epoch 22/30
2/2 [==============================] - 0s 36ms/step - loss: 160740.1094 - val_loss: 67539.3828
Epoch 23/30
2/2 [==============================] - 0s 36ms/step - loss: 160735.2188 - val_loss: 67458.9141
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 160640.0781 - val_loss: 67438.0625
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 160606.8125 - val_loss: 67389.8672
Epoch 26/30
2/2 [==============================] - 0s 38ms/step - loss: 160557.6250 - val_loss: 67388.8828
Epoch 27/30
2/2 [==============================] - 0s 35ms/step - loss: 160503.5781 - val_loss: 67343.5156
Epoch 28/30
2/2 [==============================] - 0s 35ms/step - loss: 160492.1875 - val_loss: 67271.1484
Epoch 29/30
2/2 [==============================] - 0s 38ms/step - loss: 160419.1094 - val_loss: 67243.8594
Epoch 30/30
2/2 [==============================] - 0s 39ms/step - loss: 160399.2812 - val_loss: 67279.3750
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 65ms/step - loss: 160321.3594 - val_loss: 67263.4297
Epoch 2/30
2/2 [==============================] - 0s 29ms/step - loss: 160364.6250 - val_loss: 67321.8203
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 160226.1719 - val_loss: 67302.5312
Epoch 4/30
2/2 [==============================] - 0s 29ms/step - loss: 160200.7656 - val_loss: 67219.5469
Epoch 5/30
2/2 [==============================] - 0s 36ms/step - loss: 160139.2188 - val_loss: 67214.6484
Epoch 6/30
2/2 [==============================] - 0s 33ms/step - loss: 160091.6094 - val_loss: 67184.2656
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 160102.8281 - val_loss: 67212.6562
Epoch 8/30
2/2 [==============================] - 0s 50ms/step - loss: 160006.2188 - val_loss: 67131.4766
Epoch 9/30
2/2 [==============================] - 0s 41ms/step - loss: 159986.4219 - val_loss: 67069.3672
Epoch 10/30
2/2 [==============================] - 0s 47ms/step - loss: 159920.4062 - val_loss: 67070.2266
Epoch 11/30
2/2 [==============================] - 0s 45ms/step - loss: 159848.9688 - val_loss: 67031.4922
Epoch 12/30
2/2 [==============================] - 0s 34ms/step - loss: 159804.6094 - val_loss: 67003.3594
Epoch 13/30
2/2 [==============================] - 0s 33ms/step - loss: 159807.5781 - val_loss: 67004.3125
Epoch 14/30
2/2 [==============================] - 0s 36ms/step - loss: 159706.2188 - val_loss: 66954.8828
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 159723.9688 - val_loss: 66960.9766
Epoch 16/30
2/2 [==============================] - 0s 33ms/step - loss: 159624.5156 - val_loss: 66924.1094
Epoch 17/30
2/2 [==============================] - 0s 29ms/step - loss: 159571.1250 - val_loss: 66878.8828
Epoch 18/30
2/2 [==============================] - 0s 33ms/step - loss: 159591.8906 - val_loss: 66863.1484
Epoch 19/30
2/2 [==============================] - 0s 29ms/step - loss: 159503.7188 - val_loss: 66775.4453
Epoch 20/30
2/2 [==============================] - 0s 35ms/step - loss: 159434.8438 - val_loss: 66746.2734
Epoch 21/30
2/2 [==============================] - 0s 29ms/step - loss: 159402.9844 - val_loss: 66722.6875
Epoch 22/30
2/2 [==============================] - 0s 30ms/step - loss: 159339.3281 - val_loss: 66674.4531
Epoch 23/30
2/2 [==============================] - 0s 31ms/step - loss: 159292.6719 - val_loss: 66633.8906
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 159289.5312 - val_loss: 66612.6250
Epoch 25/30
2/2 [==============================] - 0s 35ms/step - loss: 159209.2656 - val_loss: 66572.5781
Epoch 26/30
2/2 [==============================] - 0s 29ms/step - loss: 159238.2500 - val_loss: 66525.2656
Epoch 27/30
2/2 [==============================] - 0s 31ms/step - loss: 159210.7812 - val_loss: 66577.5547
Epoch 28/30
2/2 [==============================] - 0s 30ms/step - loss: 159100.3750 - val_loss: 66529.1719
Epoch 29/30
2/2 [==============================] - 0s 36ms/step - loss: 159028.7656 - val_loss: 66463.4141
Epoch 30/30
2/2 [==============================] - 0s 33ms/step - loss: 158988.1250 - val_loss: 66474.8125
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 69ms/step - loss: 159007.5156 - val_loss: 66483.4531
Epoch 2/30
2/2 [==============================] - 0s 33ms/step - loss: 158879.7812 - val_loss: 66455.4141
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 158852.0000 - val_loss: 66392.3906
Epoch 4/30
2/2 [==============================] - 0s 36ms/step - loss: 158784.6719 - val_loss: 66340.4922
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 158820.2031 - val_loss: 66379.6016
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 158702.9219 - val_loss: 66330.4297
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 158682.0938 - val_loss: 66236.9219
Epoch 8/30
2/2 [==============================] - 0s 31ms/step - loss: 158681.7500 - val_loss: 66137.4844
Epoch 9/30
2/2 [==============================] - 0s 39ms/step - loss: 158566.6562 - val_loss: 66129.7344
Epoch 10/30
2/2 [==============================] - 0s 38ms/step - loss: 158629.6250 - val_loss: 66137.9531
Epoch 11/30
2/2 [==============================] - 0s 40ms/step - loss: 158500.0000 - val_loss: 66172.6172
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 158402.0625 - val_loss: 66143.8594
Epoch 13/30
2/2 [==============================] - 0s 31ms/step - loss: 158371.1406 - val_loss: 66106.7969
Epoch 14/30
2/2 [==============================] - 0s 35ms/step - loss: 158311.0469 - val_loss: 66088.2109
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 158371.8750 - val_loss: 66084.2188
Epoch 16/30
2/2 [==============================] - 0s 37ms/step - loss: 158255.1719 - val_loss: 66023.0703
Epoch 17/30
2/2 [==============================] - 0s 40ms/step - loss: 158190.0469 - val_loss: 65980.1094
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 158136.2969 - val_loss: 65979.7969
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 158085.3594 - val_loss: 65972.8203
Epoch 20/30
2/2 [==============================] - 0s 33ms/step - loss: 158055.3281 - val_loss: 65984.3359
Epoch 21/30
2/2 [==============================] - 0s 35ms/step - loss: 158034.5781 - val_loss: 65986.5469
Epoch 22/30
2/2 [==============================] - 0s 35ms/step - loss: 157948.4844 - val_loss: 65922.9297
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 157908.7031 - val_loss: 65857.7500
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 157855.3281 - val_loss: 65857.1094
Epoch 25/30
2/2 [==============================] - 0s 40ms/step - loss: 157861.3906 - val_loss: 65882.3359
Epoch 26/30
2/2 [==============================] - 0s 31ms/step - loss: 157750.6719 - val_loss: 65850.3984
Epoch 27/30
2/2 [==============================] - 0s 33ms/step - loss: 157701.4219 - val_loss: 65811.4297
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 157721.4375 - val_loss: 65729.5625
Epoch 29/30
2/2 [==============================] - 0s 32ms/step - loss: 157729.0938 - val_loss: 65713.0859
Epoch 30/30
2/2 [==============================] - 0s 36ms/step - loss: 157673.9688 - val_loss: 65714.6719
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 66ms/step - loss: 157581.3906 - val_loss: 65613.9453
Epoch 2/30
2/2 [==============================] - 0s 32ms/step - loss: 157507.4531 - val_loss: 65611.5859
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 157433.1250 - val_loss: 65558.0312
Epoch 4/30
2/2 [==============================] - 0s 45ms/step - loss: 157409.6719 - val_loss: 65522.9492
Epoch 5/30
2/2 [==============================] - 0s 37ms/step - loss: 157331.2344 - val_loss: 65490.2148
Epoch 6/30
2/2 [==============================] - 0s 48ms/step - loss: 157344.4219 - val_loss: 65447.0117
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 157286.8906 - val_loss: 65475.9961
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 157275.6875 - val_loss: 65438.3359
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 157140.7031 - val_loss: 65412.1367
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 157099.7344 - val_loss: 65413.4062
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 157047.6250 - val_loss: 65409.3047
Epoch 12/30
2/2 [==============================] - 0s 35ms/step - loss: 157001.8594 - val_loss: 65399.4375
Epoch 13/30
2/2 [==============================] - 0s 36ms/step - loss: 156958.4844 - val_loss: 65368.0508
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 156912.7656 - val_loss: 65339.8672
Epoch 15/30
2/2 [==============================] - 0s 33ms/step - loss: 156966.6406 - val_loss: 65334.1172
Epoch 16/30
2/2 [==============================] - 0s 34ms/step - loss: 156818.3125 - val_loss: 65287.1875
Epoch 17/30
2/2 [==============================] - 0s 31ms/step - loss: 156782.5312 - val_loss: 65225.9453
Epoch 18/30
2/2 [==============================] - 0s 34ms/step - loss: 156778.8906 - val_loss: 65159.5000
Epoch 19/30
2/2 [==============================] - 0s 29ms/step - loss: 156703.8438 - val_loss: 65125.3398
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 156670.0156 - val_loss: 65113.5977
Epoch 21/30
2/2 [==============================] - 0s 29ms/step - loss: 156604.7031 - val_loss: 65089.9180
Epoch 22/30
2/2 [==============================] - 0s 37ms/step - loss: 156547.2344 - val_loss: 65049.0195
Epoch 23/30
2/2 [==============================] - 0s 35ms/step - loss: 156504.2188 - val_loss: 65047.0703
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 156466.1875 - val_loss: 65060.8477
Epoch 25/30
2/2 [==============================] - 0s 54ms/step - loss: 156423.3750 - val_loss: 65016.2383
Epoch 26/30
2/2 [==============================] - 0s 62ms/step - loss: 156348.1562 - val_loss: 65002.4727
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 156368.1875 - val_loss: 65021.8789
Epoch 28/30
2/2 [==============================] - 0s 39ms/step - loss: 156289.5312 - val_loss: 64932.8242
Epoch 29/30
2/2 [==============================] - 0s 37ms/step - loss: 156256.9062 - val_loss: 64962.9922
Epoch 30/30
2/2 [==============================] - 0s 39ms/step - loss: 156189.2344 - val_loss: 64911.2422
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 80ms/step - loss: 156189.9688 - val_loss: 64878.0938
Epoch 2/30
2/2 [==============================] - 0s 45ms/step - loss: 156064.1562 - val_loss: 64855.8398
Epoch 3/30
2/2 [==============================] - 0s 40ms/step - loss: 156012.7969 - val_loss: 64824.4180
Epoch 4/30
2/2 [==============================] - 0s 38ms/step - loss: 155977.8750 - val_loss: 64765.3750
Epoch 5/30
2/2 [==============================] - 0s 36ms/step - loss: 155926.5469 - val_loss: 64740.7422
Epoch 6/30
2/2 [==============================] - 0s 36ms/step - loss: 156005.0156 - val_loss: 64747.8438
Epoch 7/30
2/2 [==============================] - 0s 29ms/step - loss: 155830.4375 - val_loss: 64702.4648
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 155793.2188 - val_loss: 64626.4297
Epoch 9/30
2/2 [==============================] - 0s 31ms/step - loss: 155799.7031 - val_loss: 64656.6055
Epoch 10/30
2/2 [==============================] - 0s 32ms/step - loss: 155685.9844 - val_loss: 64611.5000
Epoch 11/30
2/2 [==============================] - 0s 32ms/step - loss: 155689.0469 - val_loss: 64560.4336
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 155602.3125 - val_loss: 64490.3867
Epoch 13/30
2/2 [==============================] - 0s 37ms/step - loss: 155563.4531 - val_loss: 64432.1602
Epoch 14/30
2/2 [==============================] - 0s 45ms/step - loss: 155516.0938 - val_loss: 64403.7500
Epoch 15/30
2/2 [==============================] - 0s 55ms/step - loss: 155461.7500 - val_loss: 64361.3398
Epoch 16/30
2/2 [==============================] - 0s 48ms/step - loss: 155426.4219 - val_loss: 64343.6875
Epoch 17/30
2/2 [==============================] - 0s 38ms/step - loss: 155420.1875 - val_loss: 64362.6602
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 155313.6406 - val_loss: 64301.1992
Epoch 19/30
2/2 [==============================] - 0s 38ms/step - loss: 155296.9219 - val_loss: 64273.4375
Epoch 20/30
2/2 [==============================] - 0s 32ms/step - loss: 155224.2656 - val_loss: 64269.8008
Epoch 21/30
2/2 [==============================] - 0s 36ms/step - loss: 155171.7188 - val_loss: 64250.7070
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 155130.4375 - val_loss: 64227.1523
Epoch 23/30
2/2 [==============================] - 0s 37ms/step - loss: 155080.5156 - val_loss: 64167.4180
Epoch 24/30
2/2 [==============================] - 0s 33ms/step - loss: 155064.9688 - val_loss: 64080.0586
Epoch 25/30
2/2 [==============================] - 0s 32ms/step - loss: 155021.4219 - val_loss: 64111.8867
Epoch 26/30
2/2 [==============================] - 0s 34ms/step - loss: 154929.3281 - val_loss: 64081.2930
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 154893.1406 - val_loss: 64019.4414
Epoch 28/30
2/2 [==============================] - 0s 46ms/step - loss: 154893.7656 - val_loss: 63952.3359
Epoch 29/30
2/2 [==============================] - 0s 33ms/step - loss: 154837.0781 - val_loss: 63987.6523
Epoch 30/30
2/2 [==============================] - 0s 34ms/step - loss: 154756.9531 - val_loss: 63966.9297
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 74ms/step - loss: 154702.2812 - val_loss: 63921.8945
Epoch 2/30
2/2 [==============================] - 0s 29ms/step - loss: 154752.0000 - val_loss: 63829.9453
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 154600.6562 - val_loss: 63807.6445
Epoch 4/30
2/2 [==============================] - 0s 36ms/step - loss: 154589.6719 - val_loss: 63775.2188
Epoch 5/30
2/2 [==============================] - 0s 41ms/step - loss: 154550.3906 - val_loss: 63796.8555
Epoch 6/30
2/2 [==============================] - 0s 42ms/step - loss: 154518.7031 - val_loss: 63752.0391
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 154483.2656 - val_loss: 63759.7852
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 154394.7812 - val_loss: 63722.0625
Epoch 9/30
2/2 [==============================] - 0s 34ms/step - loss: 154321.3125 - val_loss: 63722.7773
Epoch 10/30
2/2 [==============================] - 0s 35ms/step - loss: 154291.4375 - val_loss: 63754.4727
Epoch 11/30
2/2 [==============================] - 0s 34ms/step - loss: 154294.7656 - val_loss: 63806.6680
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 154170.5469 - val_loss: 63772.1445
Epoch 13/30
2/2 [==============================] - 0s 29ms/step - loss: 154251.9062 - val_loss: 63770.4453
Epoch 14/30
2/2 [==============================] - 0s 36ms/step - loss: 154130.7031 - val_loss: 63725.8867
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 154122.2812 - val_loss: 63655.7695
Epoch 16/30
2/2 [==============================] - 0s 37ms/step - loss: 154001.6562 - val_loss: 63583.0000
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 153943.5938 - val_loss: 63538.6250
Epoch 18/30
2/2 [==============================] - 0s 34ms/step - loss: 153886.2656 - val_loss: 63520.1953
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 153843.2344 - val_loss: 63507.4023
Epoch 20/30
2/2 [==============================] - 0s 33ms/step - loss: 153797.0781 - val_loss: 63492.3047
Epoch 21/30
2/2 [==============================] - 0s 36ms/step - loss: 153806.0469 - val_loss: 63426.3164
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 153698.5156 - val_loss: 63395.7695
Epoch 23/30
2/2 [==============================] - 0s 43ms/step - loss: 153650.7969 - val_loss: 63387.7734
Epoch 24/30
2/2 [==============================] - 0s 38ms/step - loss: 153647.6875 - val_loss: 63317.6328
Epoch 25/30
2/2 [==============================] - 0s 42ms/step - loss: 153581.8438 - val_loss: 63332.5078
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 153519.7500 - val_loss: 63294.9023
Epoch 27/30
2/2 [==============================] - 0s 41ms/step - loss: 153545.4531 - val_loss: 63231.1484
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 153418.2812 - val_loss: 63220.3047
Epoch 29/30
2/2 [==============================] - 0s 39ms/step - loss: 153434.0000 - val_loss: 63205.0938
Epoch 30/30
2/2 [==============================] - 0s 32ms/step - loss: 153324.9531 - val_loss: 63148.8125
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 83ms/step - loss: 153343.2656 - val_loss: 63197.4180
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 153232.0156 - val_loss: 63146.5703
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 153225.3906 - val_loss: 63058.1953
Epoch 4/30
2/2 [==============================] - 0s 33ms/step - loss: 153191.0156 - val_loss: 63007.7734
Epoch 5/30
2/2 [==============================] - 0s 37ms/step - loss: 153104.4062 - val_loss: 62952.5273
Epoch 6/30
2/2 [==============================] - 0s 34ms/step - loss: 153046.5781 - val_loss: 62917.5352
Epoch 7/30
2/2 [==============================] - 0s 34ms/step - loss: 153021.7500 - val_loss: 62947.2422
Epoch 8/30
2/2 [==============================] - 0s 38ms/step - loss: 152954.3125 - val_loss: 62965.2852
Epoch 9/30
2/2 [==============================] - 0s 34ms/step - loss: 152886.1719 - val_loss: 62936.2227
Epoch 10/30
2/2 [==============================] - 0s 38ms/step - loss: 152972.3594 - val_loss: 62885.2148
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 152812.8750 - val_loss: 62830.3555
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 152767.6406 - val_loss: 62850.3477
Epoch 13/30
2/2 [==============================] - 0s 34ms/step - loss: 152719.1406 - val_loss: 62840.4258
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 152837.2969 - val_loss: 62815.1602
Epoch 15/30
2/2 [==============================] - 0s 36ms/step - loss: 152639.9219 - val_loss: 62806.9375
Epoch 16/30
2/2 [==============================] - 0s 49ms/step - loss: 152557.8281 - val_loss: 62770.4883
Epoch 17/30
2/2 [==============================] - 0s 47ms/step - loss: 152514.2031 - val_loss: 62722.3398
Epoch 18/30
2/2 [==============================] - 0s 44ms/step - loss: 152465.3750 - val_loss: 62710.8828
Epoch 19/30
2/2 [==============================] - 0s 34ms/step - loss: 152550.6250 - val_loss: 62718.2773
Epoch 20/30
2/2 [==============================] - 0s 41ms/step - loss: 152367.2344 - val_loss: 62678.8555
Epoch 21/30
2/2 [==============================] - 0s 36ms/step - loss: 152329.4531 - val_loss: 62656.7695
Epoch 22/30
2/2 [==============================] - 0s 33ms/step - loss: 152292.0312 - val_loss: 62652.8398
Epoch 23/30
2/2 [==============================] - 0s 40ms/step - loss: 152240.3750 - val_loss: 62598.0859
Epoch 24/30
2/2 [==============================] - 0s 34ms/step - loss: 152173.6250 - val_loss: 62547.5703
Epoch 25/30
2/2 [==============================] - 0s 39ms/step - loss: 152123.6094 - val_loss: 62514.1875
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 152082.6250 - val_loss: 62494.8242
Epoch 27/30
2/2 [==============================] - 0s 35ms/step - loss: 152038.0156 - val_loss: 62456.3086
Epoch 28/30
2/2 [==============================] - 0s 32ms/step - loss: 151981.2500 - val_loss: 62414.1680
Epoch 29/30
2/2 [==============================] - 0s 36ms/step - loss: 151947.1406 - val_loss: 62397.9375
Epoch 30/30
2/2 [==============================] - 0s 44ms/step - loss: 151891.0312 - val_loss: 62347.6953
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 69ms/step - loss: 151834.3281 - val_loss: 62309.2812
Epoch 2/30
2/2 [==============================] - 0s 35ms/step - loss: 151790.3125 - val_loss: 62278.2188
Epoch 3/30
2/2 [==============================] - 0s 40ms/step - loss: 151753.0000 - val_loss: 62255.1172
Epoch 4/30
2/2 [==============================] - 0s 35ms/step - loss: 151736.6406 - val_loss: 62232.1211
Epoch 5/30
2/2 [==============================] - 0s 34ms/step - loss: 151643.2969 - val_loss: 62194.9648
Epoch 6/30
2/2 [==============================] - 0s 33ms/step - loss: 151687.9531 - val_loss: 62206.3867
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 151561.8125 - val_loss: 62171.5508
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 151513.8125 - val_loss: 62091.3555
Epoch 9/30
2/2 [==============================] - 0s 34ms/step - loss: 151462.8906 - val_loss: 62020.7148
Epoch 10/30
2/2 [==============================] - 0s 33ms/step - loss: 151487.7500 - val_loss: 61983.1211
Epoch 11/30
2/2 [==============================] - 0s 34ms/step - loss: 151379.4219 - val_loss: 61965.2305
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 151361.4844 - val_loss: 61872.3477
Epoch 13/30
2/2 [==============================] - 0s 44ms/step - loss: 151315.1719 - val_loss: 61867.6328
Epoch 14/30
2/2 [==============================] - 0s 43ms/step - loss: 151223.1094 - val_loss: 61826.9688
Epoch 15/30
2/2 [==============================] - 0s 36ms/step - loss: 151171.8594 - val_loss: 61814.5000
Epoch 16/30
2/2 [==============================] - 0s 39ms/step - loss: 151125.7344 - val_loss: 61804.0625
Epoch 17/30
2/2 [==============================] - 0s 40ms/step - loss: 151089.6875 - val_loss: 61771.1328
Epoch 18/30
2/2 [==============================] - 0s 33ms/step - loss: 151116.3125 - val_loss: 61709.4023
Epoch 19/30
2/2 [==============================] - 0s 36ms/step - loss: 151007.4688 - val_loss: 61667.5625
Epoch 20/30
2/2 [==============================] - 0s 39ms/step - loss: 150975.5938 - val_loss: 61686.4570
Epoch 21/30
2/2 [==============================] - 0s 35ms/step - loss: 150943.7656 - val_loss: 61607.8672
Epoch 22/30
2/2 [==============================] - 0s 37ms/step - loss: 150834.6094 - val_loss: 61612.9375
Epoch 23/30
2/2 [==============================] - 0s 31ms/step - loss: 150792.7188 - val_loss: 61602.0820
Epoch 24/30
2/2 [==============================] - 0s 31ms/step - loss: 150750.7969 - val_loss: 61615.5664
Epoch 25/30
2/2 [==============================] - 0s 36ms/step - loss: 150757.0469 - val_loss: 61584.8750
Epoch 26/30
2/2 [==============================] - 0s 31ms/step - loss: 150716.7656 - val_loss: 61598.0859
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 150640.2188 - val_loss: 61617.5234
Epoch 28/30
2/2 [==============================] - 0s 32ms/step - loss: 150611.1094 - val_loss: 61536.1680
Epoch 29/30
2/2 [==============================] - 0s 37ms/step - loss: 150563.4531 - val_loss: 61521.4258
Epoch 30/30
2/2 [==============================] - 0s 33ms/step - loss: 150466.1875 - val_loss: 61523.4336
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 65ms/step - loss: 150404.4844 - val_loss: 61493.9492
Epoch 2/30
2/2 [==============================] - 0s 32ms/step - loss: 150353.4219 - val_loss: 61473.3398
Epoch 3/30
2/2 [==============================] - 0s 35ms/step - loss: 150357.2656 - val_loss: 61449.5430
Epoch 4/30
2/2 [==============================] - 0s 36ms/step - loss: 150273.5312 - val_loss: 61395.4180
Epoch 5/30
2/2 [==============================] - 0s 31ms/step - loss: 150263.6250 - val_loss: 61324.2227
Epoch 6/30
2/2 [==============================] - 0s 38ms/step - loss: 150178.2812 - val_loss: 61303.4766
Epoch 7/30
2/2 [==============================] - 0s 32ms/step - loss: 150109.7031 - val_loss: 61302.5586
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 150103.1406 - val_loss: 61258.7891
Epoch 9/30
2/2 [==============================] - 0s 36ms/step - loss: 150041.0000 - val_loss: 61205.7695
Epoch 10/30
2/2 [==============================] - 0s 33ms/step - loss: 149968.8281 - val_loss: 61197.5977
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 149936.4062 - val_loss: 61217.0430
Epoch 12/30
2/2 [==============================] - 0s 42ms/step - loss: 149910.3125 - val_loss: 61148.4805
Epoch 13/30
2/2 [==============================] - 0s 37ms/step - loss: 149831.9219 - val_loss: 61163.2500
Epoch 14/30
2/2 [==============================] - 0s 32ms/step - loss: 149773.2031 - val_loss: 61150.9180
Epoch 15/30
2/2 [==============================] - 0s 38ms/step - loss: 149740.4375 - val_loss: 61116.0977
Epoch 16/30
2/2 [==============================] - 0s 38ms/step - loss: 149734.4375 - val_loss: 61094.9648
Epoch 17/30
2/2 [==============================] - 0s 34ms/step - loss: 149681.1406 - val_loss: 61124.4805
Epoch 18/30
2/2 [==============================] - 0s 36ms/step - loss: 149581.8438 - val_loss: 61085.3711
Epoch 19/30
2/2 [==============================] - 0s 38ms/step - loss: 149568.1875 - val_loss: 61080.0703
Epoch 20/30
2/2 [==============================] - 0s 34ms/step - loss: 149484.5781 - val_loss: 61047.3711
Epoch 21/30
2/2 [==============================] - 0s 40ms/step - loss: 149462.4688 - val_loss: 60988.4062
Epoch 22/30
2/2 [==============================] - 0s 34ms/step - loss: 149411.0000 - val_loss: 60936.6680
Epoch 23/30
2/2 [==============================] - 0s 37ms/step - loss: 149342.5156 - val_loss: 60921.3945
Epoch 24/30
2/2 [==============================] - 0s 38ms/step - loss: 149366.5781 - val_loss: 60822.4453
Epoch 25/30
2/2 [==============================] - 0s 34ms/step - loss: 149267.8750 - val_loss: 60817.2227
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 149190.1250 - val_loss: 60794.0078
Epoch 27/30
2/2 [==============================] - 0s 32ms/step - loss: 149154.6562 - val_loss: 60782.6016
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 149092.1719 - val_loss: 60750.2930
Epoch 29/30
2/2 [==============================] - 0s 31ms/step - loss: 149097.2500 - val_loss: 60665.5820
Epoch 30/30
2/2 [==============================] - 0s 36ms/step - loss: 149013.3281 - val_loss: 60656.8320
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 93ms/step - loss: 148951.7656 - val_loss: 60640.4570
Epoch 2/30
2/2 [==============================] - 0s 34ms/step - loss: 148944.8438 - val_loss: 60619.3086
Epoch 3/30
2/2 [==============================] - 0s 44ms/step - loss: 148889.8438 - val_loss: 60626.3672
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 148861.6094 - val_loss: 60640.6953
Epoch 5/30
2/2 [==============================] - 0s 41ms/step - loss: 148765.1406 - val_loss: 60564.0703
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 148723.6562 - val_loss: 60520.1953
Epoch 7/30
2/2 [==============================] - 0s 32ms/step - loss: 148666.6094 - val_loss: 60500.7109
Epoch 8/30
2/2 [==============================] - 0s 33ms/step - loss: 148640.0781 - val_loss: 60481.0234
Epoch 9/30
2/2 [==============================] - 0s 35ms/step - loss: 148617.2344 - val_loss: 60486.7578
Epoch 10/30
2/2 [==============================] - 0s 36ms/step - loss: 148510.1562 - val_loss: 60419.6680
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 148461.5625 - val_loss: 60359.0430
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 148444.5312 - val_loss: 60269.1641
Epoch 13/30
2/2 [==============================] - 0s 41ms/step - loss: 148421.7188 - val_loss: 60173.4297
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 148317.4219 - val_loss: 60149.8438
Epoch 15/30
2/2 [==============================] - 0s 37ms/step - loss: 148290.4688 - val_loss: 60165.1250
Epoch 16/30
2/2 [==============================] - 0s 33ms/step - loss: 148249.0938 - val_loss: 60128.6602
Epoch 17/30
2/2 [==============================] - 0s 32ms/step - loss: 148203.2031 - val_loss: 60148.3789
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 148118.0312 - val_loss: 60111.2500
Epoch 19/30
2/2 [==============================] - 0s 32ms/step - loss: 148174.2344 - val_loss: 60054.8672
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 148096.7969 - val_loss: 59968.2227
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 148041.6562 - val_loss: 60009.0898
Epoch 22/30
2/2 [==============================] - 0s 31ms/step - loss: 148006.3281 - val_loss: 59984.2695
Epoch 23/30
2/2 [==============================] - 0s 38ms/step - loss: 147882.5156 - val_loss: 59970.5898
Epoch 24/30
2/2 [==============================] - 0s 37ms/step - loss: 147854.3906 - val_loss: 59964.8477
Epoch 25/30
2/2 [==============================] - 0s 35ms/step - loss: 147795.3281 - val_loss: 59963.5820
Epoch 26/30
2/2 [==============================] - 0s 48ms/step - loss: 147748.2969 - val_loss: 59906.6914
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 147697.3281 - val_loss: 59862.8164
Epoch 28/30
2/2 [==============================] - 0s 40ms/step - loss: 147670.7344 - val_loss: 59878.6172
Epoch 29/30
2/2 [==============================] - 0s 37ms/step - loss: 147594.1250 - val_loss: 59860.4727
Epoch 30/30
2/2 [==============================] - 0s 34ms/step - loss: 147541.1406 - val_loss: 59810.0234
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 71ms/step - loss: 147550.6094 - val_loss: 59811.9297
Epoch 2/30
2/2 [==============================] - 0s 29ms/step - loss: 147491.0312 - val_loss: 59763.7227
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 147394.3438 - val_loss: 59724.3672
Epoch 4/30
2/2 [==============================] - 0s 38ms/step - loss: 147343.1250 - val_loss: 59693.9922
Epoch 5/30
2/2 [==============================] - 0s 31ms/step - loss: 147310.3594 - val_loss: 59654.9766
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 147266.1719 - val_loss: 59611.5078
Epoch 7/30
2/2 [==============================] - 0s 32ms/step - loss: 147198.1875 - val_loss: 59559.1445
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 147161.4688 - val_loss: 59523.7695
Epoch 9/30
2/2 [==============================] - 0s 30ms/step - loss: 147114.2500 - val_loss: 59486.0273
Epoch 10/30
2/2 [==============================] - 0s 37ms/step - loss: 147098.8594 - val_loss: 59466.9648
Epoch 11/30
2/2 [==============================] - 0s 31ms/step - loss: 147002.4375 - val_loss: 59430.7422
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 146960.0000 - val_loss: 59388.5820
Epoch 13/30
2/2 [==============================] - 0s 37ms/step - loss: 146905.7812 - val_loss: 59372.6875
Epoch 14/30
2/2 [==============================] - 0s 31ms/step - loss: 146854.7188 - val_loss: 59367.6797
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 146822.2969 - val_loss: 59386.1797
Epoch 16/30
2/2 [==============================] - 0s 36ms/step - loss: 146808.9531 - val_loss: 59385.3555
Epoch 17/30
2/2 [==============================] - 0s 34ms/step - loss: 146733.8750 - val_loss: 59400.6055
Epoch 18/30
2/2 [==============================] - 0s 49ms/step - loss: 146698.2031 - val_loss: 59415.1602
Epoch 19/30
2/2 [==============================] - 0s 58ms/step - loss: 146629.7812 - val_loss: 59386.6328
Epoch 20/30
2/2 [==============================] - 0s 49ms/step - loss: 146585.8125 - val_loss: 59286.0898
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 146518.0938 - val_loss: 59274.6328
Epoch 22/30
2/2 [==============================] - 0s 36ms/step - loss: 146461.4219 - val_loss: 59205.5391
Epoch 23/30
2/2 [==============================] - 0s 36ms/step - loss: 146422.8438 - val_loss: 59157.7812
Epoch 24/30
2/2 [==============================] - 0s 31ms/step - loss: 146453.3125 - val_loss: 59047.2852
Epoch 25/30
2/2 [==============================] - 0s 38ms/step - loss: 146327.8125 - val_loss: 59050.3203
Epoch 26/30
2/2 [==============================] - 0s 32ms/step - loss: 146302.0781 - val_loss: 59069.7070
Epoch 27/30
2/2 [==============================] - 0s 34ms/step - loss: 146227.6250 - val_loss: 59039.2773
Epoch 28/30
2/2 [==============================] - 0s 40ms/step - loss: 146161.6250 - val_loss: 58987.6250
Epoch 29/30
2/2 [==============================] - 0s 32ms/step - loss: 146137.2344 - val_loss: 58975.8359
Epoch 30/30
2/2 [==============================] - 0s 41ms/step - loss: 146061.3281 - val_loss: 58948.9258
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 72ms/step - loss: 146048.2500 - val_loss: 58955.8828
Epoch 2/30
2/2 [==============================] - 0s 30ms/step - loss: 145966.2031 - val_loss: 58908.7070
Epoch 3/30
2/2 [==============================] - 0s 37ms/step - loss: 145912.8594 - val_loss: 58861.8711
Epoch 4/30
2/2 [==============================] - 0s 36ms/step - loss: 145873.5625 - val_loss: 58833.9961
Epoch 5/30
2/2 [==============================] - 0s 44ms/step - loss: 145861.2812 - val_loss: 58845.6953
Epoch 6/30
2/2 [==============================] - 0s 40ms/step - loss: 145839.9062 - val_loss: 58792.3672
Epoch 7/30
2/2 [==============================] - 0s 36ms/step - loss: 145805.9688 - val_loss: 58828.6602
Epoch 8/30
2/2 [==============================] - 0s 39ms/step - loss: 145689.0156 - val_loss: 58735.8398
Epoch 9/30
2/2 [==============================] - 0s 35ms/step - loss: 145822.8750 - val_loss: 58673.9883
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 145608.8125 - val_loss: 58589.4453
Epoch 11/30
2/2 [==============================] - 0s 46ms/step - loss: 145531.7344 - val_loss: 58551.7422
Epoch 12/30
2/2 [==============================] - 0s 46ms/step - loss: 145544.5469 - val_loss: 58567.5430
Epoch 13/30
2/2 [==============================] - 0s 31ms/step - loss: 145420.8750 - val_loss: 58542.6602
Epoch 14/30
2/2 [==============================] - 0s 40ms/step - loss: 145443.5156 - val_loss: 58586.2148
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 145328.3281 - val_loss: 58521.0625
Epoch 16/30
2/2 [==============================] - 0s 48ms/step - loss: 145375.1719 - val_loss: 58506.0703
Epoch 17/30
2/2 [==============================] - 0s 46ms/step - loss: 145228.3906 - val_loss: 58457.1250
Epoch 18/30
2/2 [==============================] - 0s 51ms/step - loss: 145181.4219 - val_loss: 58457.2695
Epoch 19/30
2/2 [==============================] - 0s 43ms/step - loss: 145174.0938 - val_loss: 58429.7695
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 145074.7188 - val_loss: 58395.4805
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 145088.0000 - val_loss: 58420.8867
Epoch 22/30
2/2 [==============================] - 0s 35ms/step - loss: 144971.7188 - val_loss: 58380.5352
Epoch 23/30
2/2 [==============================] - 0s 48ms/step - loss: 144997.6875 - val_loss: 58270.1523
Epoch 24/30
2/2 [==============================] - 0s 53ms/step - loss: 144891.4844 - val_loss: 58264.7930
Epoch 25/30
2/2 [==============================] - 0s 50ms/step - loss: 144836.9688 - val_loss: 58210.6875
Epoch 26/30
2/2 [==============================] - 0s 40ms/step - loss: 144795.3281 - val_loss: 58160.5547
Epoch 27/30
2/2 [==============================] - 0s 39ms/step - loss: 144760.9531 - val_loss: 58155.3945
Epoch 28/30
2/2 [==============================] - 0s 38ms/step - loss: 144722.1875 - val_loss: 58088.6250
Epoch 29/30
2/2 [==============================] - 0s 34ms/step - loss: 144641.2344 - val_loss: 58103.5703
Epoch 30/30
2/2 [==============================] - 0s 37ms/step - loss: 144611.3594 - val_loss: 58044.1680
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 67ms/step - loss: 144592.5781 - val_loss: 58088.1953
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 144477.9062 - val_loss: 58069.2500
Epoch 3/30
2/2 [==============================] - 0s 39ms/step - loss: 144430.6406 - val_loss: 58053.2852
Epoch 4/30
2/2 [==============================] - 0s 38ms/step - loss: 144404.5469 - val_loss: 58052.9180
Epoch 5/30
2/2 [==============================] - 0s 34ms/step - loss: 144335.5938 - val_loss: 58032.8516
Epoch 6/30
2/2 [==============================] - 0s 42ms/step - loss: 144278.2500 - val_loss: 57991.6523
Epoch 7/30
2/2 [==============================] - 0s 36ms/step - loss: 144270.7031 - val_loss: 57902.6680
Epoch 8/30
2/2 [==============================] - 0s 34ms/step - loss: 144186.3281 - val_loss: 57892.6875
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 144187.2031 - val_loss: 57877.1758
Epoch 10/30
2/2 [==============================] - 0s 30ms/step - loss: 144098.9531 - val_loss: 57806.5898
Epoch 11/30
2/2 [==============================] - 0s 37ms/step - loss: 144045.1875 - val_loss: 57807.2852
Epoch 12/30
2/2 [==============================] - 0s 32ms/step - loss: 144026.9062 - val_loss: 57792.2070
Epoch 13/30
2/2 [==============================] - 0s 35ms/step - loss: 143981.3906 - val_loss: 57731.7617
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 143882.5938 - val_loss: 57696.7422
Epoch 15/30
2/2 [==============================] - 0s 42ms/step - loss: 143855.0938 - val_loss: 57675.0898
Epoch 16/30
2/2 [==============================] - 0s 50ms/step - loss: 143809.4531 - val_loss: 57630.9180
Epoch 17/30
2/2 [==============================] - 0s 49ms/step - loss: 143781.3594 - val_loss: 57593.9297
Epoch 18/30
2/2 [==============================] - 0s 46ms/step - loss: 143690.2188 - val_loss: 57552.2070
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 143742.8750 - val_loss: 57596.7305
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 143614.9531 - val_loss: 57573.6445
Epoch 21/30
2/2 [==============================] - 0s 41ms/step - loss: 143589.5156 - val_loss: 57562.8242
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 143491.4844 - val_loss: 57513.3828
Epoch 23/30
2/2 [==============================] - 0s 40ms/step - loss: 143471.9844 - val_loss: 57440.9023
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 143430.8906 - val_loss: 57404.3242
Epoch 25/30
2/2 [==============================] - 0s 33ms/step - loss: 143413.3125 - val_loss: 57315.8516
Epoch 26/30
2/2 [==============================] - 0s 39ms/step - loss: 143302.8594 - val_loss: 57313.2930
Epoch 27/30
2/2 [==============================] - 0s 42ms/step - loss: 143249.4531 - val_loss: 57310.0391
Epoch 28/30
2/2 [==============================] - 0s 39ms/step - loss: 143206.6406 - val_loss: 57333.1133
Epoch 29/30
2/2 [==============================] - 0s 32ms/step - loss: 143155.9688 - val_loss: 57276.7773
Epoch 30/30
2/2 [==============================] - 0s 34ms/step - loss: 143092.6406 - val_loss: 57274.1328
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 65ms/step - loss: 143035.7188 - val_loss: 57248.8086
Epoch 2/30
2/2 [==============================] - 0s 31ms/step - loss: 143002.7969 - val_loss: 57199.0273
Epoch 3/30
2/2 [==============================] - 0s 32ms/step - loss: 142978.5469 - val_loss: 57141.0898
Epoch 4/30
2/2 [==============================] - 0s 32ms/step - loss: 142908.0312 - val_loss: 57110.9688
Epoch 5/30
2/2 [==============================] - 0s 38ms/step - loss: 142852.6094 - val_loss: 57110.0820
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 142782.0000 - val_loss: 57115.3828
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 142820.8594 - val_loss: 57184.1797
Epoch 8/30
2/2 [==============================] - 0s 39ms/step - loss: 142688.5312 - val_loss: 57169.2383
Epoch 9/30
2/2 [==============================] - 0s 38ms/step - loss: 142635.3125 - val_loss: 57147.5703
Epoch 10/30
2/2 [==============================] - 0s 39ms/step - loss: 142597.9062 - val_loss: 57129.6445
Epoch 11/30
2/2 [==============================] - 0s 37ms/step - loss: 142561.7812 - val_loss: 57056.5703
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 142494.1250 - val_loss: 57015.9805
Epoch 13/30
2/2 [==============================] - 0s 33ms/step - loss: 142438.7656 - val_loss: 57004.2578
Epoch 14/30
2/2 [==============================] - 0s 33ms/step - loss: 142486.7812 - val_loss: 56961.7695
Epoch 15/30
2/2 [==============================] - 0s 32ms/step - loss: 142426.8281 - val_loss: 57011.2227
Epoch 16/30
2/2 [==============================] - 0s 33ms/step - loss: 142298.9688 - val_loss: 56999.9375
Epoch 17/30
2/2 [==============================] - 0s 30ms/step - loss: 142237.5625 - val_loss: 56960.5234
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 142187.3281 - val_loss: 56914.6758
Epoch 19/30
2/2 [==============================] - 0s 31ms/step - loss: 142247.0781 - val_loss: 56783.3359
Epoch 20/30
2/2 [==============================] - 0s 39ms/step - loss: 142110.1406 - val_loss: 56743.1523
Epoch 21/30
2/2 [==============================] - 0s 31ms/step - loss: 142054.4844 - val_loss: 56690.5234
Epoch 22/30
2/2 [==============================] - 0s 35ms/step - loss: 141980.9844 - val_loss: 56673.2227
Epoch 23/30
2/2 [==============================] - 0s 29ms/step - loss: 141979.0781 - val_loss: 56594.9102
Epoch 24/30
2/2 [==============================] - 0s 36ms/step - loss: 141921.9219 - val_loss: 56565.5078
Epoch 25/30
2/2 [==============================] - 0s 31ms/step - loss: 141845.7812 - val_loss: 56545.6680
Epoch 26/30
2/2 [==============================] - 0s 35ms/step - loss: 141791.0312 - val_loss: 56545.0547
Epoch 27/30
2/2 [==============================] - 0s 40ms/step - loss: 141795.1094 - val_loss: 56527.6172
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 141737.4219 - val_loss: 56469.4297
Epoch 29/30
2/2 [==============================] - 0s 54ms/step - loss: 141637.2812 - val_loss: 56479.1875
Epoch 30/30
2/2 [==============================] - 0s 66ms/step - loss: 141622.2188 - val_loss: 56485.1758
3/3 [==============================] - 0s 7ms/step
Epoch 1/30
2/2 [==============================] - 0s 77ms/step - loss: 141560.9219 - val_loss: 56504.3203
Epoch 2/30
2/2 [==============================] - 0s 36ms/step - loss: 141556.9375 - val_loss: 56410.6484
Epoch 3/30
2/2 [==============================] - 0s 36ms/step - loss: 141444.6094 - val_loss: 56368.9375
Epoch 4/30
2/2 [==============================] - 0s 33ms/step - loss: 141388.0312 - val_loss: 56377.6484
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 141344.5312 - val_loss: 56379.1680
Epoch 6/30
2/2 [==============================] - 0s 32ms/step - loss: 141319.5625 - val_loss: 56346.2422
Epoch 7/30
2/2 [==============================] - 0s 37ms/step - loss: 141228.0625 - val_loss: 56314.9648
Epoch 8/30
2/2 [==============================] - 0s 35ms/step - loss: 141355.1719 - val_loss: 56289.5625
Epoch 9/30
2/2 [==============================] - 0s 34ms/step - loss: 141129.3906 - val_loss: 56261.2812
Epoch 10/30
2/2 [==============================] - 0s 35ms/step - loss: 141075.1562 - val_loss: 56228.1758
Epoch 11/30
2/2 [==============================] - 0s 40ms/step - loss: 141072.8125 - val_loss: 56156.2695
Epoch 12/30
2/2 [==============================] - 0s 46ms/step - loss: 141018.1250 - val_loss: 56130.1875
Epoch 13/30
2/2 [==============================] - 0s 43ms/step - loss: 140970.3125 - val_loss: 56068.7070
Epoch 14/30
2/2 [==============================] - 0s 42ms/step - loss: 140908.9062 - val_loss: 56038.9648
Epoch 15/30
2/2 [==============================] - 0s 45ms/step - loss: 140858.9844 - val_loss: 56036.7852
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 140777.4219 - val_loss: 56019.3750
Epoch 17/30
2/2 [==============================] - 0s 42ms/step - loss: 140751.8750 - val_loss: 56046.7930
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 140674.6719 - val_loss: 56020.1250
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 140677.7031 - val_loss: 56029.3125
Epoch 20/30
2/2 [==============================] - 0s 42ms/step - loss: 140614.6562 - val_loss: 56032.0195
Epoch 21/30
2/2 [==============================] - 0s 39ms/step - loss: 140557.9375 - val_loss: 55946.3711
Epoch 22/30
2/2 [==============================] - 0s 42ms/step - loss: 140484.8281 - val_loss: 55911.7578
Epoch 23/30
2/2 [==============================] - 0s 39ms/step - loss: 140426.6719 - val_loss: 55880.9648
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 140401.2031 - val_loss: 55809.9609
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 140325.9375 - val_loss: 55783.2734
Epoch 26/30
2/2 [==============================] - 0s 39ms/step - loss: 140295.1094 - val_loss: 55789.1250
Epoch 27/30
2/2 [==============================] - 0s 41ms/step - loss: 140239.6562 - val_loss: 55759.7109
Epoch 28/30
2/2 [==============================] - 0s 40ms/step - loss: 140178.5781 - val_loss: 55711.5273
Epoch 29/30
2/2 [==============================] - 0s 41ms/step - loss: 140176.2812 - val_loss: 55623.4180
Epoch 30/30
2/2 [==============================] - 0s 35ms/step - loss: 140104.2812 - val_loss: 55615.0898
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 92ms/step - loss: 140032.7656 - val_loss: 55616.1875
Epoch 2/30
2/2 [==============================] - 0s 38ms/step - loss: 140003.7344 - val_loss: 55545.4102
Epoch 3/30
2/2 [==============================] - 0s 36ms/step - loss: 139921.4219 - val_loss: 55515.4414
Epoch 4/30
2/2 [==============================] - 0s 38ms/step - loss: 139871.0156 - val_loss: 55503.8633
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 139840.8906 - val_loss: 55486.8125
Epoch 6/30
2/2 [==============================] - 0s 40ms/step - loss: 139791.8750 - val_loss: 55480.0742
Epoch 7/30
2/2 [==============================] - 0s 48ms/step - loss: 139721.8750 - val_loss: 55445.4609
Epoch 8/30
2/2 [==============================] - 0s 46ms/step - loss: 139667.2188 - val_loss: 55428.8516
Epoch 9/30
2/2 [==============================] - 0s 50ms/step - loss: 139650.7656 - val_loss: 55366.0898
Epoch 10/30
2/2 [==============================] - 0s 36ms/step - loss: 139591.0625 - val_loss: 55332.9375
Epoch 11/30
2/2 [==============================] - 0s 40ms/step - loss: 139550.8594 - val_loss: 55331.9688
Epoch 12/30
2/2 [==============================] - 0s 38ms/step - loss: 139532.4062 - val_loss: 55260.3359
Epoch 13/30
2/2 [==============================] - 0s 38ms/step - loss: 139430.0625 - val_loss: 55228.8867
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 139392.2188 - val_loss: 55259.1836
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 139361.0156 - val_loss: 55274.6250
Epoch 16/30
2/2 [==============================] - 0s 37ms/step - loss: 139341.7188 - val_loss: 55294.3125
Epoch 17/30
2/2 [==============================] - 0s 41ms/step - loss: 139212.4219 - val_loss: 55260.0430
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 139208.8281 - val_loss: 55193.8125
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 139221.7812 - val_loss: 55183.7188
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 139127.6250 - val_loss: 55178.8828
Epoch 21/30
2/2 [==============================] - 0s 39ms/step - loss: 139039.5938 - val_loss: 55180.7148
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 139031.8750 - val_loss: 55125.8633
Epoch 23/30
2/2 [==============================] - 0s 51ms/step - loss: 138991.7500 - val_loss: 55033.9023
Epoch 24/30
2/2 [==============================] - 0s 87ms/step - loss: 138917.8594 - val_loss: 55002.9805
Epoch 25/30
2/2 [==============================] - 0s 69ms/step - loss: 138805.7031 - val_loss: 54964.1133
Epoch 26/30
2/2 [==============================] - 0s 55ms/step - loss: 138771.1406 - val_loss: 54896.8203
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 138729.5625 - val_loss: 54847.1328
Epoch 28/30
2/2 [==============================] - 0s 45ms/step - loss: 138683.1406 - val_loss: 54797.6328
Epoch 29/30
2/2 [==============================] - 0s 48ms/step - loss: 138611.0000 - val_loss: 54780.0625
Epoch 30/30
2/2 [==============================] - 0s 42ms/step - loss: 138570.9531 - val_loss: 54779.3750
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 97ms/step - loss: 138542.7656 - val_loss: 54771.6875
Epoch 2/30
2/2 [==============================] - 0s 51ms/step - loss: 138461.4844 - val_loss: 54760.8047
Epoch 3/30
2/2 [==============================] - 0s 54ms/step - loss: 138439.4531 - val_loss: 54690.7266
Epoch 4/30
2/2 [==============================] - 0s 59ms/step - loss: 138364.0156 - val_loss: 54652.6484
Epoch 5/30
2/2 [==============================] - 0s 47ms/step - loss: 138365.5469 - val_loss: 54692.5703
Epoch 6/30
2/2 [==============================] - 0s 45ms/step - loss: 138245.4375 - val_loss: 54659.0977
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 138197.4062 - val_loss: 54632.9102
Epoch 8/30
2/2 [==============================] - 0s 47ms/step - loss: 138173.9219 - val_loss: 54574.7812
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 138110.4375 - val_loss: 54522.6836
Epoch 10/30
2/2 [==============================] - 0s 53ms/step - loss: 138062.8906 - val_loss: 54521.3945
Epoch 11/30
2/2 [==============================] - 0s 48ms/step - loss: 138000.4062 - val_loss: 54513.9922
Epoch 12/30
2/2 [==============================] - 0s 49ms/step - loss: 137950.7656 - val_loss: 54464.8125
Epoch 13/30
2/2 [==============================] - 0s 44ms/step - loss: 137927.0781 - val_loss: 54474.5703
Epoch 14/30
2/2 [==============================] - 0s 41ms/step - loss: 137841.2500 - val_loss: 54454.5547
Epoch 15/30
2/2 [==============================] - 0s 46ms/step - loss: 137815.0156 - val_loss: 54406.5820
Epoch 16/30
2/2 [==============================] - 0s 44ms/step - loss: 137767.1094 - val_loss: 54364.0039
Epoch 17/30
2/2 [==============================] - 0s 39ms/step - loss: 137708.0156 - val_loss: 54370.5078
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 137662.4062 - val_loss: 54326.3555
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 137620.3125 - val_loss: 54263.6328
Epoch 20/30
2/2 [==============================] - 0s 44ms/step - loss: 137556.3750 - val_loss: 54204.6680
Epoch 21/30
2/2 [==============================] - 0s 37ms/step - loss: 137489.8750 - val_loss: 54195.2266
Epoch 22/30
2/2 [==============================] - 0s 36ms/step - loss: 137517.4219 - val_loss: 54097.2500
Epoch 23/30
2/2 [==============================] - 0s 41ms/step - loss: 137393.1406 - val_loss: 54065.2930
Epoch 24/30
2/2 [==============================] - 0s 35ms/step - loss: 137365.5625 - val_loss: 54072.2773
Epoch 25/30
2/2 [==============================] - 0s 43ms/step - loss: 137321.6562 - val_loss: 54046.6875
Epoch 26/30
2/2 [==============================] - 0s 43ms/step - loss: 137232.9844 - val_loss: 54042.7109
Epoch 27/30
2/2 [==============================] - 0s 45ms/step - loss: 137191.7344 - val_loss: 54053.1797
Epoch 28/30
2/2 [==============================] - 0s 47ms/step - loss: 137126.8281 - val_loss: 54037.6523
Epoch 29/30
2/2 [==============================] - 0s 53ms/step - loss: 137090.8281 - val_loss: 53988.7695
Epoch 30/30
2/2 [==============================] - 0s 63ms/step - loss: 137057.8750 - val_loss: 54006.0000
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 82ms/step - loss: 136975.3906 - val_loss: 53985.1836
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 136921.9062 - val_loss: 53952.0000
Epoch 3/30
2/2 [==============================] - 0s 46ms/step - loss: 136950.0469 - val_loss: 53988.0820
Epoch 4/30
2/2 [==============================] - 0s 45ms/step - loss: 136875.7969 - val_loss: 53966.3320
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 136829.0156 - val_loss: 53864.0703
Epoch 6/30
2/2 [==============================] - 0s 45ms/step - loss: 136724.6094 - val_loss: 53807.6328
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 136690.2500 - val_loss: 53814.8203
Epoch 8/30
2/2 [==============================] - 0s 37ms/step - loss: 136623.9688 - val_loss: 53760.4375
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 136568.7344 - val_loss: 53702.9102
Epoch 10/30
2/2 [==============================] - 0s 46ms/step - loss: 136528.5312 - val_loss: 53641.7266
Epoch 11/30
2/2 [==============================] - 0s 41ms/step - loss: 136540.3438 - val_loss: 53680.2539
Epoch 12/30
2/2 [==============================] - 0s 34ms/step - loss: 136409.2344 - val_loss: 53635.5430
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 136359.6719 - val_loss: 53578.1172
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 136411.2188 - val_loss: 53472.0898
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 136281.9375 - val_loss: 53425.8125
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 136215.5625 - val_loss: 53449.0352
Epoch 17/30
2/2 [==============================] - 0s 62ms/step - loss: 136160.3750 - val_loss: 53428.3203
Epoch 18/30
2/2 [==============================] - 0s 82ms/step - loss: 136131.8750 - val_loss: 53437.5938
Epoch 19/30
2/2 [==============================] - 0s 67ms/step - loss: 136069.3750 - val_loss: 53445.8750
Epoch 20/30
2/2 [==============================] - 0s 66ms/step - loss: 136019.0938 - val_loss: 53390.7148
Epoch 21/30
2/2 [==============================] - 0s 58ms/step - loss: 136005.1719 - val_loss: 53388.4102
Epoch 22/30
2/2 [==============================] - 0s 48ms/step - loss: 135902.6406 - val_loss: 53347.4102
Epoch 23/30
2/2 [==============================] - 0s 53ms/step - loss: 135842.0312 - val_loss: 53334.9883
Epoch 24/30
2/2 [==============================] - 0s 46ms/step - loss: 135834.3438 - val_loss: 53302.3750
Epoch 25/30
2/2 [==============================] - 0s 51ms/step - loss: 135744.0000 - val_loss: 53295.1445
Epoch 26/30
2/2 [==============================] - 0s 49ms/step - loss: 135691.9219 - val_loss: 53266.7891
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 135658.7031 - val_loss: 53269.8203
Epoch 28/30
2/2 [==============================] - 0s 51ms/step - loss: 135626.5469 - val_loss: 53228.5664
Epoch 29/30
2/2 [==============================] - 0s 48ms/step - loss: 135545.0781 - val_loss: 53228.6602
Epoch 30/30
2/2 [==============================] - 0s 59ms/step - loss: 135482.0625 - val_loss: 53192.8828
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 106ms/step - loss: 135441.5469 - val_loss: 53151.8398
Epoch 2/30
2/2 [==============================] - 0s 46ms/step - loss: 135386.2344 - val_loss: 53140.0547
Epoch 3/30
2/2 [==============================] - 0s 49ms/step - loss: 135350.9375 - val_loss: 53143.5078
Epoch 4/30
2/2 [==============================] - 0s 49ms/step - loss: 135349.6094 - val_loss: 53048.3477
Epoch 5/30
2/2 [==============================] - 0s 53ms/step - loss: 135234.1875 - val_loss: 53003.4727
Epoch 6/30
2/2 [==============================] - 0s 49ms/step - loss: 135236.5469 - val_loss: 52921.2266
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 135142.8594 - val_loss: 52930.7773
Epoch 8/30
2/2 [==============================] - 0s 47ms/step - loss: 135105.3438 - val_loss: 52941.6016
Epoch 9/30
2/2 [==============================] - 0s 59ms/step - loss: 135020.2500 - val_loss: 52908.6328
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 134984.0312 - val_loss: 52884.7500
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 134937.2344 - val_loss: 52867.6055
Epoch 12/30
2/2 [==============================] - 0s 46ms/step - loss: 134872.0312 - val_loss: 52844.2148
Epoch 13/30
2/2 [==============================] - 0s 48ms/step - loss: 134859.2500 - val_loss: 52766.6484
Epoch 14/30
2/2 [==============================] - 0s 45ms/step - loss: 134805.6875 - val_loss: 52751.5273
Epoch 15/30
2/2 [==============================] - 0s 51ms/step - loss: 134733.5625 - val_loss: 52724.2109
Epoch 16/30
2/2 [==============================] - 0s 52ms/step - loss: 134655.4844 - val_loss: 52699.1680
Epoch 17/30
2/2 [==============================] - 0s 49ms/step - loss: 134726.2188 - val_loss: 52588.3164
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 134590.8594 - val_loss: 52582.7227
Epoch 19/30
2/2 [==============================] - 0s 52ms/step - loss: 134542.0312 - val_loss: 52520.7227
Epoch 20/30
2/2 [==============================] - 0s 55ms/step - loss: 134456.1875 - val_loss: 52510.8750
Epoch 21/30
2/2 [==============================] - 0s 56ms/step - loss: 134420.4375 - val_loss: 52478.3516
Epoch 22/30
2/2 [==============================] - 0s 57ms/step - loss: 134347.7344 - val_loss: 52477.1484
Epoch 23/30
2/2 [==============================] - 0s 72ms/step - loss: 134309.7344 - val_loss: 52441.1016
Epoch 24/30
2/2 [==============================] - 0s 54ms/step - loss: 134245.2500 - val_loss: 52436.0000
Epoch 25/30
2/2 [==============================] - 0s 73ms/step - loss: 134200.1875 - val_loss: 52416.8398
Epoch 26/30
2/2 [==============================] - 0s 53ms/step - loss: 134186.8750 - val_loss: 52463.3672
Epoch 27/30
2/2 [==============================] - 0s 68ms/step - loss: 134105.1719 - val_loss: 52473.1875
Epoch 28/30
2/2 [==============================] - 0s 67ms/step - loss: 134055.6250 - val_loss: 52462.4766
Epoch 29/30
2/2 [==============================] - 0s 56ms/step - loss: 134018.2656 - val_loss: 52456.3750
Epoch 30/30
2/2 [==============================] - 0s 56ms/step - loss: 133931.6562 - val_loss: 52407.7578
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 106ms/step - loss: 133898.2500 - val_loss: 52399.3555
Epoch 2/30
2/2 [==============================] - 0s 48ms/step - loss: 133837.9375 - val_loss: 52334.6914
Epoch 3/30
2/2 [==============================] - 0s 61ms/step - loss: 133778.1406 - val_loss: 52290.0430
Epoch 4/30
2/2 [==============================] - 0s 71ms/step - loss: 133772.2188 - val_loss: 52286.9648
Epoch 5/30
2/2 [==============================] - 0s 54ms/step - loss: 133712.0312 - val_loss: 52223.0703
Epoch 6/30
2/2 [==============================] - 0s 53ms/step - loss: 133745.8750 - val_loss: 52103.9922
Epoch 7/30
2/2 [==============================] - 0s 52ms/step - loss: 133661.5625 - val_loss: 52064.9297
Epoch 8/30
2/2 [==============================] - 0s 53ms/step - loss: 133559.6094 - val_loss: 52038.0078
Epoch 9/30
2/2 [==============================] - 0s 50ms/step - loss: 133530.9844 - val_loss: 52052.7773
Epoch 10/30
2/2 [==============================] - 0s 49ms/step - loss: 133429.6719 - val_loss: 52052.9297
Epoch 11/30
2/2 [==============================] - 0s 54ms/step - loss: 133368.6094 - val_loss: 51999.6758
Epoch 12/30
2/2 [==============================] - 0s 53ms/step - loss: 133317.0781 - val_loss: 51967.1211
Epoch 13/30
2/2 [==============================] - 0s 48ms/step - loss: 133273.3281 - val_loss: 51925.4648
Epoch 14/30
2/2 [==============================] - 0s 58ms/step - loss: 133216.2969 - val_loss: 51881.4883
Epoch 15/30
2/2 [==============================] - 0s 59ms/step - loss: 133189.1719 - val_loss: 51899.1172
Epoch 16/30
2/2 [==============================] - 0s 66ms/step - loss: 133153.2969 - val_loss: 51844.7852
Epoch 17/30
2/2 [==============================] - 0s 66ms/step - loss: 133072.3750 - val_loss: 51833.4648
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 133065.1094 - val_loss: 51748.8203
Epoch 19/30
2/2 [==============================] - 0s 51ms/step - loss: 132991.0469 - val_loss: 51711.3242
Epoch 20/30
2/2 [==============================] - 0s 51ms/step - loss: 132895.3906 - val_loss: 51699.7266
Epoch 21/30
2/2 [==============================] - 0s 47ms/step - loss: 132862.1250 - val_loss: 51657.5820
Epoch 22/30
2/2 [==============================] - 0s 53ms/step - loss: 132842.0938 - val_loss: 51593.7266
Epoch 23/30
2/2 [==============================] - 0s 49ms/step - loss: 132773.6562 - val_loss: 51630.2070
Epoch 24/30
2/2 [==============================] - 0s 56ms/step - loss: 132737.8125 - val_loss: 51652.2422
Epoch 25/30
2/2 [==============================] - 0s 60ms/step - loss: 132673.6094 - val_loss: 51633.9805
Epoch 26/30
2/2 [==============================] - 0s 53ms/step - loss: 132614.0781 - val_loss: 51605.4297
Epoch 27/30
2/2 [==============================] - 0s 55ms/step - loss: 132608.8906 - val_loss: 51617.1875
Epoch 28/30
2/2 [==============================] - 0s 60ms/step - loss: 132563.2344 - val_loss: 51522.9805
Epoch 29/30
2/2 [==============================] - 0s 46ms/step - loss: 132435.8750 - val_loss: 51492.2266
Epoch 30/30
2/2 [==============================] - 0s 56ms/step - loss: 132395.0469 - val_loss: 51500.5000
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 113ms/step - loss: 132353.2500 - val_loss: 51435.4648
Epoch 2/30
2/2 [==============================] - 0s 47ms/step - loss: 132301.0312 - val_loss: 51454.7891
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 132234.5781 - val_loss: 51403.3828
Epoch 4/30
2/2 [==============================] - 0s 49ms/step - loss: 132225.3281 - val_loss: 51344.8320
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 132121.6562 - val_loss: 51331.6758
Epoch 6/30
2/2 [==============================] - 0s 49ms/step - loss: 132077.6562 - val_loss: 51333.1445
Epoch 7/30
2/2 [==============================] - 0s 50ms/step - loss: 132063.7656 - val_loss: 51359.7852
Epoch 8/30
2/2 [==============================] - 0s 47ms/step - loss: 131975.5312 - val_loss: 51337.0117
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 131962.3750 - val_loss: 51298.0547
Epoch 10/30
2/2 [==============================] - 0s 52ms/step - loss: 131875.2969 - val_loss: 51231.8438
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 131818.4844 - val_loss: 51172.1172
Epoch 12/30
2/2 [==============================] - 0s 59ms/step - loss: 131759.9062 - val_loss: 51158.9023
Epoch 13/30
2/2 [==============================] - 0s 51ms/step - loss: 131717.5469 - val_loss: 51132.5938
Epoch 14/30
2/2 [==============================] - 0s 59ms/step - loss: 131666.9688 - val_loss: 51119.4453
Epoch 15/30
2/2 [==============================] - 0s 78ms/step - loss: 131601.8125 - val_loss: 51072.0625
Epoch 16/30
2/2 [==============================] - 0s 89ms/step - loss: 131597.7656 - val_loss: 51004.0547
Epoch 17/30
2/2 [==============================] - 0s 69ms/step - loss: 131524.2031 - val_loss: 50980.8477
Epoch 18/30
2/2 [==============================] - 0s 69ms/step - loss: 131484.3438 - val_loss: 50919.7070
Epoch 19/30
2/2 [==============================] - 0s 64ms/step - loss: 131450.5938 - val_loss: 50937.4453
Epoch 20/30
2/2 [==============================] - 0s 67ms/step - loss: 131367.0469 - val_loss: 50902.6523
Epoch 21/30
2/2 [==============================] - 0s 69ms/step - loss: 131295.3125 - val_loss: 50879.2500
Epoch 22/30
2/2 [==============================] - 0s 68ms/step - loss: 131289.3906 - val_loss: 50800.4922
Epoch 23/30
2/2 [==============================] - 0s 66ms/step - loss: 131190.9531 - val_loss: 50786.0703
Epoch 24/30
2/2 [==============================] - 0s 80ms/step - loss: 131277.0312 - val_loss: 50784.3125
Epoch 25/30
2/2 [==============================] - 0s 52ms/step - loss: 131113.6875 - val_loss: 50802.9453
Epoch 26/30
2/2 [==============================] - 0s 64ms/step - loss: 131033.8672 - val_loss: 50785.9141
Epoch 27/30
2/2 [==============================] - 0s 65ms/step - loss: 131030.1562 - val_loss: 50802.9258
Epoch 28/30
2/2 [==============================] - 0s 64ms/step - loss: 130951.4922 - val_loss: 50781.1758
Epoch 29/30
2/2 [==============================] - 0s 61ms/step - loss: 130988.7422 - val_loss: 50680.5703
Epoch 30/30
2/2 [==============================] - 0s 64ms/step - loss: 130824.1406 - val_loss: 50651.4922
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 118ms/step - loss: 130848.1250 - val_loss: 50648.0234
Epoch 2/30
2/2 [==============================] - 0s 43ms/step - loss: 130740.2734 - val_loss: 50594.5547
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 130678.1250 - val_loss: 50530.6055
Epoch 4/30
2/2 [==============================] - 0s 50ms/step - loss: 130641.0312 - val_loss: 50483.8516
Epoch 5/30
2/2 [==============================] - 0s 54ms/step - loss: 130604.6953 - val_loss: 50424.4570
Epoch 6/30
2/2 [==============================] - 0s 46ms/step - loss: 130521.0000 - val_loss: 50430.3789
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 130483.6953 - val_loss: 50404.3672
Epoch 8/30
2/2 [==============================] - 0s 50ms/step - loss: 130427.0469 - val_loss: 50362.6953
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 130372.1719 - val_loss: 50347.4102
Epoch 10/30
2/2 [==============================] - 0s 51ms/step - loss: 130347.7188 - val_loss: 50274.8047
Epoch 11/30
2/2 [==============================] - 0s 49ms/step - loss: 130425.5078 - val_loss: 50273.1758
Epoch 12/30
2/2 [==============================] - 0s 58ms/step - loss: 130207.5078 - val_loss: 50259.9453
Epoch 13/30
2/2 [==============================] - 0s 50ms/step - loss: 130153.2578 - val_loss: 50230.6680
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 130117.3203 - val_loss: 50204.9375
Epoch 15/30
2/2 [==============================] - 0s 51ms/step - loss: 130073.0625 - val_loss: 50162.7930
Epoch 16/30
2/2 [==============================] - 0s 49ms/step - loss: 130010.0391 - val_loss: 50172.4766
Epoch 17/30
2/2 [==============================] - 0s 49ms/step - loss: 130000.8984 - val_loss: 50170.0078
Epoch 18/30
2/2 [==============================] - 0s 57ms/step - loss: 129962.2734 - val_loss: 50099.9688
Epoch 19/30
2/2 [==============================] - 0s 64ms/step - loss: 129840.9141 - val_loss: 50082.1055
Epoch 20/30
2/2 [==============================] - 0s 64ms/step - loss: 129816.6875 - val_loss: 50077.8711
Epoch 21/30
2/2 [==============================] - 0s 62ms/step - loss: 129782.2578 - val_loss: 50033.6953
Epoch 22/30
2/2 [==============================] - 0s 59ms/step - loss: 129697.8516 - val_loss: 50039.6562
Epoch 23/30
2/2 [==============================] - 0s 54ms/step - loss: 129636.1406 - val_loss: 50005.1211
Epoch 24/30
2/2 [==============================] - 0s 51ms/step - loss: 129600.5391 - val_loss: 49964.1680
Epoch 25/30
2/2 [==============================] - 0s 49ms/step - loss: 129671.8828 - val_loss: 50040.9258
Epoch 26/30
2/2 [==============================] - 0s 54ms/step - loss: 129544.3594 - val_loss: 49968.3867
Epoch 27/30
2/2 [==============================] - 0s 52ms/step - loss: 129473.2891 - val_loss: 49982.1016
Epoch 28/30
2/2 [==============================] - 0s 61ms/step - loss: 129407.6641 - val_loss: 49931.1523
Epoch 29/30
2/2 [==============================] - 0s 66ms/step - loss: 129348.9844 - val_loss: 49878.6172
Epoch 30/30
2/2 [==============================] - 0s 73ms/step - loss: 129293.6797 - val_loss: 49861.0273
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 114ms/step - loss: 129248.0547 - val_loss: 49867.5977
Epoch 2/30
2/2 [==============================] - 0s 47ms/step - loss: 129206.7109 - val_loss: 49826.5977
Epoch 3/30
2/2 [==============================] - 0s 44ms/step - loss: 129152.0078 - val_loss: 49820.9180
Epoch 4/30
2/2 [==============================] - 0s 49ms/step - loss: 129070.8984 - val_loss: 49763.0039
Epoch 5/30
2/2 [==============================] - 0s 48ms/step - loss: 129015.7891 - val_loss: 49709.5195
Epoch 6/30
2/2 [==============================] - 0s 50ms/step - loss: 128991.5000 - val_loss: 49680.5117
Epoch 7/30
2/2 [==============================] - 0s 48ms/step - loss: 128964.2734 - val_loss: 49656.3164
Epoch 8/30
2/2 [==============================] - 0s 56ms/step - loss: 128888.4141 - val_loss: 49602.3633
Epoch 9/30
2/2 [==============================] - 0s 51ms/step - loss: 128822.6016 - val_loss: 49590.1953
Epoch 10/30
2/2 [==============================] - 0s 52ms/step - loss: 128755.7656 - val_loss: 49562.1875
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 128747.0078 - val_loss: 49542.1797
Epoch 12/30
2/2 [==============================] - 0s 58ms/step - loss: 128659.7969 - val_loss: 49488.9648
Epoch 13/30
2/2 [==============================] - 0s 53ms/step - loss: 128604.9922 - val_loss: 49433.0703
Epoch 14/30
2/2 [==============================] - 0s 57ms/step - loss: 128638.2109 - val_loss: 49395.2070
Epoch 15/30
2/2 [==============================] - 0s 57ms/step - loss: 128516.3281 - val_loss: 49386.3828
Epoch 16/30
2/2 [==============================] - 0s 56ms/step - loss: 128460.1719 - val_loss: 49369.0703
Epoch 17/30
2/2 [==============================] - 0s 50ms/step - loss: 128423.0547 - val_loss: 49327.8789
Epoch 18/30
2/2 [==============================] - 0s 50ms/step - loss: 128359.3984 - val_loss: 49314.6680
Epoch 19/30
2/2 [==============================] - 0s 48ms/step - loss: 128316.2656 - val_loss: 49266.6250
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 128251.6328 - val_loss: 49243.6797
Epoch 21/30
2/2 [==============================] - 0s 50ms/step - loss: 128188.2891 - val_loss: 49197.6055
Epoch 22/30
2/2 [==============================] - 0s 83ms/step - loss: 128155.0781 - val_loss: 49185.7734
Epoch 23/30
2/2 [==============================] - 0s 70ms/step - loss: 128084.0625 - val_loss: 49149.5625
Epoch 24/30
2/2 [==============================] - 0s 64ms/step - loss: 128067.6797 - val_loss: 49128.2266
Epoch 25/30
2/2 [==============================] - 0s 58ms/step - loss: 127988.4062 - val_loss: 49080.8945
Epoch 26/30
2/2 [==============================] - 0s 57ms/step - loss: 127946.6719 - val_loss: 49055.1250
Epoch 27/30
2/2 [==============================] - 0s 55ms/step - loss: 127885.1406 - val_loss: 48988.2930
Epoch 28/30
2/2 [==============================] - 0s 53ms/step - loss: 127874.7266 - val_loss: 48947.9414
Epoch 29/30
2/2 [==============================] - 0s 45ms/step - loss: 127791.1484 - val_loss: 48910.5234
Epoch 30/30
2/2 [==============================] - 0s 51ms/step - loss: 127763.7422 - val_loss: 48870.5586
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 112ms/step - loss: 127751.7031 - val_loss: 48891.5078
Epoch 2/30
2/2 [==============================] - 0s 50ms/step - loss: 127635.3359 - val_loss: 48826.9102
Epoch 3/30
2/2 [==============================] - 0s 60ms/step - loss: 127570.6016 - val_loss: 48793.3047
Epoch 4/30
2/2 [==============================] - 0s 54ms/step - loss: 127577.0781 - val_loss: 48749.9375
Epoch 5/30
2/2 [==============================] - 0s 50ms/step - loss: 127499.0156 - val_loss: 48771.9375
Epoch 6/30
2/2 [==============================] - 0s 51ms/step - loss: 127465.2188 - val_loss: 48794.4023
Epoch 7/30
2/2 [==============================] - 0s 59ms/step - loss: 127400.1719 - val_loss: 48788.0039
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 127367.5391 - val_loss: 48706.2539
Epoch 9/30
2/2 [==============================] - 0s 49ms/step - loss: 127274.7969 - val_loss: 48654.3125
Epoch 10/30
2/2 [==============================] - 0s 58ms/step - loss: 127209.5625 - val_loss: 48606.9375
Epoch 11/30
2/2 [==============================] - 0s 91ms/step - loss: 127154.6562 - val_loss: 48586.1445
Epoch 12/30
2/2 [==============================] - 0s 67ms/step - loss: 127100.7812 - val_loss: 48580.9727
Epoch 13/30
2/2 [==============================] - 0s 64ms/step - loss: 127054.1328 - val_loss: 48545.8047
Epoch 14/30
2/2 [==============================] - 0s 64ms/step - loss: 127024.8281 - val_loss: 48556.1055
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 126973.9219 - val_loss: 48504.8711
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 126933.2812 - val_loss: 48516.9375
Epoch 17/30
2/2 [==============================] - 0s 43ms/step - loss: 126856.4609 - val_loss: 48510.8828
Epoch 18/30
2/2 [==============================] - 0s 44ms/step - loss: 126830.1562 - val_loss: 48447.5352
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 126760.5078 - val_loss: 48440.8320
Epoch 20/30
2/2 [==============================] - 0s 48ms/step - loss: 126685.1016 - val_loss: 48410.8984
Epoch 21/30
2/2 [==============================] - 0s 54ms/step - loss: 126644.4297 - val_loss: 48363.6484
Epoch 22/30
2/2 [==============================] - 0s 49ms/step - loss: 126608.5703 - val_loss: 48296.9805
Epoch 23/30
2/2 [==============================] - 0s 49ms/step - loss: 126572.9062 - val_loss: 48230.2539
Epoch 24/30
2/2 [==============================] - 0s 51ms/step - loss: 126516.5703 - val_loss: 48263.3125
Epoch 25/30
2/2 [==============================] - 0s 47ms/step - loss: 126467.4688 - val_loss: 48208.0664
Epoch 26/30
2/2 [==============================] - 0s 51ms/step - loss: 126376.5078 - val_loss: 48196.2852
Epoch 27/30
2/2 [==============================] - 0s 46ms/step - loss: 126395.0156 - val_loss: 48239.3555
Epoch 28/30
2/2 [==============================] - 0s 50ms/step - loss: 126310.0000 - val_loss: 48165.3867
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 126249.9922 - val_loss: 48127.8398
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 126170.6875 - val_loss: 48117.1602
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 101ms/step - loss: 126164.2031 - val_loss: 48047.6250
Epoch 2/30
2/2 [==============================] - 0s 33ms/step - loss: 126100.5000 - val_loss: 48067.8125
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 126038.1484 - val_loss: 48034.3945
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 125972.6953 - val_loss: 48014.0352
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 125957.7734 - val_loss: 48017.3398
Epoch 6/30
2/2 [==============================] - 0s 47ms/step - loss: 125884.9453 - val_loss: 47960.3242
Epoch 7/30
2/2 [==============================] - 0s 42ms/step - loss: 125837.0625 - val_loss: 47974.6523
Epoch 8/30
2/2 [==============================] - 0s 41ms/step - loss: 125833.4922 - val_loss: 47892.6172
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 125705.0938 - val_loss: 47875.6680
Epoch 10/30
2/2 [==============================] - 0s 42ms/step - loss: 125664.7266 - val_loss: 47892.7617
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 125648.6172 - val_loss: 47881.1523
Epoch 12/30
2/2 [==============================] - 0s 41ms/step - loss: 125596.0312 - val_loss: 47914.4727
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 125511.3828 - val_loss: 47909.5273
Epoch 14/30
2/2 [==============================] - 0s 48ms/step - loss: 125468.2578 - val_loss: 47836.9258
Epoch 15/30
2/2 [==============================] - 0s 52ms/step - loss: 125439.7422 - val_loss: 47790.5820
Epoch 16/30
2/2 [==============================] - 0s 51ms/step - loss: 125375.2031 - val_loss: 47759.5820
Epoch 17/30
2/2 [==============================] - 0s 56ms/step - loss: 125366.2344 - val_loss: 47802.6797
Epoch 18/30
2/2 [==============================] - 0s 46ms/step - loss: 125256.6484 - val_loss: 47775.8945
Epoch 19/30
2/2 [==============================] - 0s 47ms/step - loss: 125229.0781 - val_loss: 47758.1328
Epoch 20/30
2/2 [==============================] - 0s 39ms/step - loss: 125130.7109 - val_loss: 47724.3438
Epoch 21/30
2/2 [==============================] - 0s 47ms/step - loss: 125102.9531 - val_loss: 47660.3867
Epoch 22/30
2/2 [==============================] - 0s 37ms/step - loss: 125035.9844 - val_loss: 47635.0703
Epoch 23/30
2/2 [==============================] - 0s 39ms/step - loss: 124979.7891 - val_loss: 47603.0664
Epoch 24/30
2/2 [==============================] - 0s 42ms/step - loss: 124921.3047 - val_loss: 47543.6289
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 124878.7969 - val_loss: 47491.9141
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 124857.3516 - val_loss: 47472.7227
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 124782.5234 - val_loss: 47438.7305
Epoch 28/30
2/2 [==============================] - 0s 41ms/step - loss: 124767.3047 - val_loss: 47450.6445
Epoch 29/30
2/2 [==============================] - 0s 41ms/step - loss: 124698.6406 - val_loss: 47363.5195
Epoch 30/30
2/2 [==============================] - 0s 42ms/step - loss: 124620.7266 - val_loss: 47301.0039
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 88ms/step - loss: 124629.8594 - val_loss: 47238.7773
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 124551.1484 - val_loss: 47214.1875
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 124462.7266 - val_loss: 47199.7148
Epoch 4/30
2/2 [==============================] - 0s 42ms/step - loss: 124419.3281 - val_loss: 47175.4961
Epoch 5/30
2/2 [==============================] - 0s 39ms/step - loss: 124368.9219 - val_loss: 47125.3984
Epoch 6/30
2/2 [==============================] - 0s 42ms/step - loss: 124322.1094 - val_loss: 47113.0977
Epoch 7/30
2/2 [==============================] - 0s 41ms/step - loss: 124336.8828 - val_loss: 47061.3047
Epoch 8/30
2/2 [==============================] - 0s 45ms/step - loss: 124237.9531 - val_loss: 47010.3086
Epoch 9/30
2/2 [==============================] - 0s 41ms/step - loss: 124157.7969 - val_loss: 46997.5898
Epoch 10/30
2/2 [==============================] - 0s 47ms/step - loss: 124116.1406 - val_loss: 47024.6367
Epoch 11/30
2/2 [==============================] - 0s 44ms/step - loss: 124045.4609 - val_loss: 47035.3828
Epoch 12/30
2/2 [==============================] - 0s 45ms/step - loss: 124042.0156 - val_loss: 46989.6250
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 123965.6797 - val_loss: 47013.0000
Epoch 14/30
2/2 [==============================] - 0s 51ms/step - loss: 123891.3672 - val_loss: 46999.8633
Epoch 15/30
2/2 [==============================] - 0s 59ms/step - loss: 123860.7031 - val_loss: 47014.0000
Epoch 16/30
2/2 [==============================] - 0s 53ms/step - loss: 123807.5391 - val_loss: 46946.1289
Epoch 17/30
2/2 [==============================] - 0s 55ms/step - loss: 123815.6016 - val_loss: 46887.3828
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 123702.0938 - val_loss: 46878.3398
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 123643.2734 - val_loss: 46888.6953
Epoch 20/30
2/2 [==============================] - 0s 43ms/step - loss: 123610.5078 - val_loss: 46890.7891
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 123589.2031 - val_loss: 46864.6602
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 123467.9062 - val_loss: 46808.7227
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 123457.5625 - val_loss: 46765.0273
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 123383.4531 - val_loss: 46702.4414
Epoch 25/30
2/2 [==============================] - 0s 44ms/step - loss: 123332.7422 - val_loss: 46670.0195
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 123278.9141 - val_loss: 46655.0430
Epoch 27/30
2/2 [==============================] - 0s 42ms/step - loss: 123214.5234 - val_loss: 46612.1797
Epoch 28/30
2/2 [==============================] - 0s 41ms/step - loss: 123186.2266 - val_loss: 46545.6250
Epoch 29/30
2/2 [==============================] - 0s 35ms/step - loss: 123124.0469 - val_loss: 46505.9180
Epoch 30/30
2/2 [==============================] - 0s 42ms/step - loss: 123082.7422 - val_loss: 46514.7070
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 78ms/step - loss: 123056.2266 - val_loss: 46441.2305
Epoch 2/30
2/2 [==============================] - 0s 40ms/step - loss: 123017.3516 - val_loss: 46478.0625
Epoch 3/30
2/2 [==============================] - 0s 39ms/step - loss: 122984.8516 - val_loss: 46473.6680
Epoch 4/30
2/2 [==============================] - 0s 43ms/step - loss: 122867.0078 - val_loss: 46419.1680
Epoch 5/30
2/2 [==============================] - 0s 38ms/step - loss: 122799.7109 - val_loss: 46386.1055
Epoch 6/30
2/2 [==============================] - 0s 37ms/step - loss: 122763.2812 - val_loss: 46343.5195
Epoch 7/30
2/2 [==============================] - 0s 35ms/step - loss: 122715.9297 - val_loss: 46334.2266
Epoch 8/30
2/2 [==============================] - 0s 41ms/step - loss: 122638.5391 - val_loss: 46324.3203
Epoch 9/30
2/2 [==============================] - 0s 38ms/step - loss: 122603.7734 - val_loss: 46287.0000
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 122534.2734 - val_loss: 46261.7188
Epoch 11/30
2/2 [==============================] - 0s 35ms/step - loss: 122534.0312 - val_loss: 46236.7812
Epoch 12/30
2/2 [==============================] - 0s 39ms/step - loss: 122484.4922 - val_loss: 46252.6172
Epoch 13/30
2/2 [==============================] - 0s 39ms/step - loss: 122383.9453 - val_loss: 46231.3320
Epoch 14/30
2/2 [==============================] - 0s 41ms/step - loss: 122383.5469 - val_loss: 46163.4609
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 122288.0312 - val_loss: 46129.3125
Epoch 16/30
2/2 [==============================] - 0s 38ms/step - loss: 122229.9766 - val_loss: 46100.6250
Epoch 17/30
2/2 [==============================] - 0s 40ms/step - loss: 122221.5547 - val_loss: 46084.9648
Epoch 18/30
2/2 [==============================] - 0s 38ms/step - loss: 122171.6328 - val_loss: 46036.8477
Epoch 19/30
2/2 [==============================] - 0s 35ms/step - loss: 122125.2344 - val_loss: 45984.2148
Epoch 20/30
2/2 [==============================] - 0s 37ms/step - loss: 122129.4844 - val_loss: 45976.2812
Epoch 21/30
2/2 [==============================] - 0s 38ms/step - loss: 121978.6016 - val_loss: 45954.8203
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 121938.9531 - val_loss: 45964.3672
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 121886.1094 - val_loss: 45932.3555
Epoch 24/30
2/2 [==============================] - 0s 39ms/step - loss: 121849.8672 - val_loss: 45874.0977
Epoch 25/30
2/2 [==============================] - 0s 39ms/step - loss: 121801.1250 - val_loss: 45826.7070
Epoch 26/30
2/2 [==============================] - 0s 36ms/step - loss: 121722.6016 - val_loss: 45828.2500
Epoch 27/30
2/2 [==============================] - 0s 36ms/step - loss: 121714.3359 - val_loss: 45788.3320
Epoch 28/30
2/2 [==============================] - 0s 36ms/step - loss: 121610.6641 - val_loss: 45768.2500
Epoch 29/30
2/2 [==============================] - 0s 40ms/step - loss: 121572.2188 - val_loss: 45769.4766
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 121538.0625 - val_loss: 45741.7070
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 86ms/step - loss: 121479.6953 - val_loss: 45681.3672
Epoch 2/30
2/2 [==============================] - 0s 53ms/step - loss: 121456.6406 - val_loss: 45641.3555
Epoch 3/30
2/2 [==============================] - 0s 46ms/step - loss: 121354.7422 - val_loss: 45613.0977
Epoch 4/30
2/2 [==============================] - 0s 43ms/step - loss: 121297.1406 - val_loss: 45605.5664
Epoch 5/30
2/2 [==============================] - 0s 39ms/step - loss: 121328.4141 - val_loss: 45627.3320
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 121234.2188 - val_loss: 45621.5195
Epoch 7/30
2/2 [==============================] - 0s 38ms/step - loss: 121156.3594 - val_loss: 45620.5586
Epoch 8/30
2/2 [==============================] - 0s 43ms/step - loss: 121102.8906 - val_loss: 45587.7461
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 121051.2344 - val_loss: 45571.3047
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 120992.7344 - val_loss: 45506.9766
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 120969.3828 - val_loss: 45486.2109
Epoch 12/30
2/2 [==============================] - 0s 39ms/step - loss: 120889.6250 - val_loss: 45439.1602
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 120938.2031 - val_loss: 45375.1289
Epoch 14/30
2/2 [==============================] - 0s 42ms/step - loss: 120832.3594 - val_loss: 45315.3320
Epoch 15/30
2/2 [==============================] - 0s 40ms/step - loss: 120819.0859 - val_loss: 45277.7461
Epoch 16/30
2/2 [==============================] - 0s 34ms/step - loss: 120727.9922 - val_loss: 45244.6562
Epoch 17/30
2/2 [==============================] - 0s 47ms/step - loss: 120627.4688 - val_loss: 45231.3477
Epoch 18/30
2/2 [==============================] - 0s 35ms/step - loss: 120659.6094 - val_loss: 45216.4805
Epoch 19/30
2/2 [==============================] - 0s 49ms/step - loss: 120529.4609 - val_loss: 45211.0898
Epoch 20/30
2/2 [==============================] - 0s 47ms/step - loss: 120496.2891 - val_loss: 45220.5859
Epoch 21/30
2/2 [==============================] - 0s 56ms/step - loss: 120452.1875 - val_loss: 45228.4922
Epoch 22/30
2/2 [==============================] - 0s 76ms/step - loss: 120396.3203 - val_loss: 45182.6172
Epoch 23/30
2/2 [==============================] - 0s 61ms/step - loss: 120313.3750 - val_loss: 45154.0703
Epoch 24/30
2/2 [==============================] - 0s 67ms/step - loss: 120267.5156 - val_loss: 45117.4062
Epoch 25/30
2/2 [==============================] - 0s 67ms/step - loss: 120304.0000 - val_loss: 45037.6211
Epoch 26/30
2/2 [==============================] - 0s 58ms/step - loss: 120162.5547 - val_loss: 45001.4727
Epoch 27/30
2/2 [==============================] - 0s 48ms/step - loss: 120131.8594 - val_loss: 44943.7734
Epoch 28/30
2/2 [==============================] - 0s 44ms/step - loss: 120058.2031 - val_loss: 44931.9102
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 120029.6484 - val_loss: 44884.9453
Epoch 30/30
2/2 [==============================] - 0s 44ms/step - loss: 120068.8672 - val_loss: 44819.7734
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 92ms/step - loss: 119952.4688 - val_loss: 44800.3203
Epoch 2/30
2/2 [==============================] - 0s 45ms/step - loss: 119868.4609 - val_loss: 44792.9688
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 119818.0000 - val_loss: 44817.1680
Epoch 4/30
2/2 [==============================] - 0s 50ms/step - loss: 119779.7344 - val_loss: 44839.3672
Epoch 5/30
2/2 [==============================] - 0s 52ms/step - loss: 119747.2266 - val_loss: 44771.8398
Epoch 6/30
2/2 [==============================] - 0s 49ms/step - loss: 119723.3672 - val_loss: 44783.7383
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 119605.9531 - val_loss: 44752.0586
Epoch 8/30
2/2 [==============================] - 0s 44ms/step - loss: 119588.6797 - val_loss: 44753.0625
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 119503.5703 - val_loss: 44730.4922
Epoch 10/30
2/2 [==============================] - 0s 55ms/step - loss: 119528.1094 - val_loss: 44654.0195
Epoch 11/30
2/2 [==============================] - 0s 52ms/step - loss: 119432.3359 - val_loss: 44685.0547
Epoch 12/30
2/2 [==============================] - 0s 52ms/step - loss: 119352.1016 - val_loss: 44643.6133
Epoch 13/30
2/2 [==============================] - 0s 56ms/step - loss: 119285.6719 - val_loss: 44621.9648
Epoch 14/30
2/2 [==============================] - 0s 53ms/step - loss: 119252.3359 - val_loss: 44607.9883
Epoch 15/30
2/2 [==============================] - 0s 52ms/step - loss: 119193.2734 - val_loss: 44596.8320
Epoch 16/30
2/2 [==============================] - 0s 51ms/step - loss: 119155.0391 - val_loss: 44553.8477
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 119154.7422 - val_loss: 44510.0625
Epoch 18/30
2/2 [==============================] - 0s 45ms/step - loss: 119058.3203 - val_loss: 44450.2500
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 118985.3750 - val_loss: 44436.2070
Epoch 20/30
2/2 [==============================] - 0s 48ms/step - loss: 118983.5000 - val_loss: 44436.8125
Epoch 21/30
2/2 [==============================] - 0s 49ms/step - loss: 118891.0312 - val_loss: 44390.8984
Epoch 22/30
2/2 [==============================] - 0s 55ms/step - loss: 118891.1250 - val_loss: 44365.2227
Epoch 23/30
2/2 [==============================] - 0s 64ms/step - loss: 118816.3203 - val_loss: 44365.8008
Epoch 24/30
2/2 [==============================] - 0s 55ms/step - loss: 118745.6406 - val_loss: 44342.3672
Epoch 25/30
2/2 [==============================] - 0s 54ms/step - loss: 118731.5078 - val_loss: 44343.6641
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 118623.1641 - val_loss: 44302.6875
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 118606.8906 - val_loss: 44228.8047
Epoch 28/30
2/2 [==============================] - 0s 50ms/step - loss: 118562.4609 - val_loss: 44224.2188
Epoch 29/30
2/2 [==============================] - 0s 46ms/step - loss: 118486.7109 - val_loss: 44191.5703
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 118448.8516 - val_loss: 44199.6367
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 84ms/step - loss: 118376.6016 - val_loss: 44145.1797
Epoch 2/30
2/2 [==============================] - 0s 42ms/step - loss: 118334.3984 - val_loss: 44110.4180
Epoch 3/30
2/2 [==============================] - 0s 39ms/step - loss: 118316.8750 - val_loss: 44040.5625
Epoch 4/30
2/2 [==============================] - 0s 43ms/step - loss: 118231.4141 - val_loss: 44026.1133
Epoch 5/30
2/2 [==============================] - 0s 44ms/step - loss: 118184.1641 - val_loss: 44026.3047
Epoch 6/30
2/2 [==============================] - 0s 40ms/step - loss: 118169.5000 - val_loss: 44040.2188
Epoch 7/30
2/2 [==============================] - 0s 48ms/step - loss: 118073.5078 - val_loss: 43984.1328
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 118025.8281 - val_loss: 43949.0000
Epoch 9/30
2/2 [==============================] - 0s 39ms/step - loss: 117970.6172 - val_loss: 43939.7852
Epoch 10/30
2/2 [==============================] - 0s 37ms/step - loss: 117933.0625 - val_loss: 43891.7773
Epoch 11/30
2/2 [==============================] - 0s 41ms/step - loss: 117892.8516 - val_loss: 43895.8086
Epoch 12/30
2/2 [==============================] - 0s 40ms/step - loss: 117811.7891 - val_loss: 43849.2422
Epoch 13/30
2/2 [==============================] - 0s 41ms/step - loss: 117763.3828 - val_loss: 43827.6680
Epoch 14/30
2/2 [==============================] - 0s 41ms/step - loss: 117719.6562 - val_loss: 43758.4492
Epoch 15/30
2/2 [==============================] - 0s 44ms/step - loss: 117651.6484 - val_loss: 43720.4102
Epoch 16/30
2/2 [==============================] - 0s 38ms/step - loss: 117668.3984 - val_loss: 43690.2891
Epoch 17/30
2/2 [==============================] - 0s 36ms/step - loss: 117564.3594 - val_loss: 43634.3320
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 117529.5312 - val_loss: 43579.8125
Epoch 19/30
2/2 [==============================] - 0s 39ms/step - loss: 117481.8984 - val_loss: 43527.8086
Epoch 20/30
2/2 [==============================] - 0s 40ms/step - loss: 117443.2031 - val_loss: 43518.0977
Epoch 21/30
2/2 [==============================] - 0s 40ms/step - loss: 117363.0938 - val_loss: 43509.9492
Epoch 22/30
2/2 [==============================] - 0s 53ms/step - loss: 117314.8047 - val_loss: 43475.3398
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 117247.6094 - val_loss: 43478.9961
Epoch 24/30
2/2 [==============================] - 0s 55ms/step - loss: 117208.6328 - val_loss: 43494.2305
Epoch 25/30
2/2 [==============================] - 0s 57ms/step - loss: 117169.1406 - val_loss: 43457.8320
Epoch 26/30
2/2 [==============================] - 0s 52ms/step - loss: 117111.9844 - val_loss: 43437.2578
Epoch 27/30
2/2 [==============================] - 0s 60ms/step - loss: 117047.1719 - val_loss: 43423.6797
Epoch 28/30
2/2 [==============================] - 0s 54ms/step - loss: 117085.1172 - val_loss: 43424.0977
Epoch 29/30
2/2 [==============================] - 0s 53ms/step - loss: 116963.8438 - val_loss: 43440.5234
Epoch 30/30
2/2 [==============================] - 0s 53ms/step - loss: 116887.8047 - val_loss: 43407.3789
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 86ms/step - loss: 116860.5547 - val_loss: 43372.5312
Epoch 2/30
2/2 [==============================] - 0s 42ms/step - loss: 116794.8594 - val_loss: 43351.7930
Epoch 3/30
2/2 [==============================] - 0s 41ms/step - loss: 116760.5234 - val_loss: 43330.8555
Epoch 4/30
2/2 [==============================] - 0s 47ms/step - loss: 116697.2344 - val_loss: 43287.6875
Epoch 5/30
2/2 [==============================] - 0s 55ms/step - loss: 116630.8906 - val_loss: 43252.9805
Epoch 6/30
2/2 [==============================] - 0s 52ms/step - loss: 116668.3984 - val_loss: 43285.1875
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 116564.0938 - val_loss: 43277.3359
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 116515.4766 - val_loss: 43185.5742
Epoch 9/30
2/2 [==============================] - 0s 50ms/step - loss: 116467.1562 - val_loss: 43139.5547
Epoch 10/30
2/2 [==============================] - 0s 50ms/step - loss: 116417.2812 - val_loss: 43139.7070
Epoch 11/30
2/2 [==============================] - 0s 52ms/step - loss: 116333.7812 - val_loss: 43114.0898
Epoch 12/30
2/2 [==============================] - 0s 55ms/step - loss: 116339.4453 - val_loss: 43068.6055
Epoch 13/30
2/2 [==============================] - 0s 60ms/step - loss: 116242.9375 - val_loss: 43033.0703
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 116172.4531 - val_loss: 42988.0000
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 116156.8906 - val_loss: 42924.7734
Epoch 16/30
2/2 [==============================] - 0s 46ms/step - loss: 116126.5391 - val_loss: 42904.5703
Epoch 17/30
2/2 [==============================] - 0s 48ms/step - loss: 116040.5781 - val_loss: 42893.1016
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 115973.1797 - val_loss: 42841.5977
Epoch 19/30
2/2 [==============================] - 0s 48ms/step - loss: 115924.0938 - val_loss: 42792.7695
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 115876.2422 - val_loss: 42750.1758
Epoch 21/30
2/2 [==============================] - 0s 44ms/step - loss: 115854.5391 - val_loss: 42697.2305
Epoch 22/30
2/2 [==============================] - 0s 45ms/step - loss: 115782.8594 - val_loss: 42678.2227
Epoch 23/30
2/2 [==============================] - 0s 45ms/step - loss: 115733.1562 - val_loss: 42642.2773
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 115715.9062 - val_loss: 42671.6641
Epoch 25/30
2/2 [==============================] - 0s 51ms/step - loss: 115606.7188 - val_loss: 42658.6016
Epoch 26/30
2/2 [==============================] - 0s 48ms/step - loss: 115561.4609 - val_loss: 42655.7539
Epoch 27/30
2/2 [==============================] - 0s 54ms/step - loss: 115523.4922 - val_loss: 42648.8320
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 115469.0469 - val_loss: 42635.6484
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 115421.2422 - val_loss: 42613.5273
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 115371.5859 - val_loss: 42578.8008
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 89ms/step - loss: 115406.6484 - val_loss: 42611.0312
Epoch 2/30
2/2 [==============================] - 0s 47ms/step - loss: 115279.4453 - val_loss: 42571.4922
Epoch 3/30
2/2 [==============================] - 0s 41ms/step - loss: 115273.4531 - val_loss: 42485.3828
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 115165.6016 - val_loss: 42438.6797
Epoch 5/30
2/2 [==============================] - 0s 49ms/step - loss: 115109.0938 - val_loss: 42420.6484
Epoch 6/30
2/2 [==============================] - 0s 54ms/step - loss: 115089.0625 - val_loss: 42436.2617
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 115010.0938 - val_loss: 42419.6289
Epoch 8/30
2/2 [==============================] - 0s 52ms/step - loss: 114951.8906 - val_loss: 42383.2773
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 114921.0391 - val_loss: 42325.3203
Epoch 10/30
2/2 [==============================] - 0s 46ms/step - loss: 114856.2109 - val_loss: 42301.4062
Epoch 11/30
2/2 [==============================] - 0s 46ms/step - loss: 114826.2344 - val_loss: 42269.2773
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 114768.7266 - val_loss: 42264.3398
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 114704.4453 - val_loss: 42242.6250
Epoch 14/30
2/2 [==============================] - 0s 46ms/step - loss: 114670.5391 - val_loss: 42204.0664
Epoch 15/30
2/2 [==============================] - 0s 49ms/step - loss: 114590.9141 - val_loss: 42174.1367
Epoch 16/30
2/2 [==============================] - 0s 64ms/step - loss: 114559.0781 - val_loss: 42184.7773
Epoch 17/30
2/2 [==============================] - 0s 63ms/step - loss: 114515.4531 - val_loss: 42178.5977
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 114479.1406 - val_loss: 42120.8828
Epoch 19/30
2/2 [==============================] - 0s 49ms/step - loss: 114410.1875 - val_loss: 42131.9414
Epoch 20/30
2/2 [==============================] - 0s 49ms/step - loss: 114370.2656 - val_loss: 42079.9883
Epoch 21/30
2/2 [==============================] - 0s 48ms/step - loss: 114290.5703 - val_loss: 42067.3555
Epoch 22/30
2/2 [==============================] - 0s 46ms/step - loss: 114279.5234 - val_loss: 42070.5508
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 114190.0312 - val_loss: 42016.1758
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 114150.7812 - val_loss: 41960.5625
Epoch 25/30
2/2 [==============================] - 0s 49ms/step - loss: 114108.2734 - val_loss: 41934.8477
Epoch 26/30
2/2 [==============================] - 0s 58ms/step - loss: 114095.3984 - val_loss: 41929.8320
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 114005.3359 - val_loss: 41871.7070
Epoch 28/30
2/2 [==============================] - 0s 53ms/step - loss: 113977.8125 - val_loss: 41848.0078
Epoch 29/30
2/2 [==============================] - 0s 45ms/step - loss: 113930.3125 - val_loss: 41793.7578
Epoch 30/30
2/2 [==============================] - 0s 47ms/step - loss: 113835.1797 - val_loss: 41768.9570
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 99ms/step - loss: 113827.6250 - val_loss: 41713.9609
Epoch 2/30
2/2 [==============================] - 0s 42ms/step - loss: 113728.2188 - val_loss: 41692.7578
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 113704.7266 - val_loss: 41725.6797
Epoch 4/30
2/2 [==============================] - 0s 46ms/step - loss: 113633.6875 - val_loss: 41709.1680
Epoch 5/30
2/2 [==============================] - 0s 60ms/step - loss: 113621.2188 - val_loss: 41684.2734
Epoch 6/30
2/2 [==============================] - 0s 53ms/step - loss: 113582.9844 - val_loss: 41668.0391
Epoch 7/30
2/2 [==============================] - 0s 55ms/step - loss: 113472.1719 - val_loss: 41669.0195
Epoch 8/30
2/2 [==============================] - 0s 56ms/step - loss: 113429.8438 - val_loss: 41663.3672
Epoch 9/30
2/2 [==============================] - 0s 51ms/step - loss: 113420.9062 - val_loss: 41658.4805
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 113331.3047 - val_loss: 41625.0977
Epoch 11/30
2/2 [==============================] - 0s 45ms/step - loss: 113300.2031 - val_loss: 41627.9297
Epoch 12/30
2/2 [==============================] - 0s 45ms/step - loss: 113227.2812 - val_loss: 41611.3945
Epoch 13/30
2/2 [==============================] - 0s 54ms/step - loss: 113161.7109 - val_loss: 41579.9414
Epoch 14/30
2/2 [==============================] - 0s 55ms/step - loss: 113137.5547 - val_loss: 41506.8984
Epoch 15/30
2/2 [==============================] - 0s 59ms/step - loss: 113066.7891 - val_loss: 41461.0078
Epoch 16/30
2/2 [==============================] - 0s 51ms/step - loss: 113074.3672 - val_loss: 41382.8555
Epoch 17/30
2/2 [==============================] - 0s 51ms/step - loss: 112961.8438 - val_loss: 41368.1445
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 112937.3750 - val_loss: 41322.6523
Epoch 19/30
2/2 [==============================] - 0s 49ms/step - loss: 112924.1562 - val_loss: 41306.2578
Epoch 20/30
2/2 [==============================] - 0s 51ms/step - loss: 112856.2031 - val_loss: 41311.6250
Epoch 21/30
2/2 [==============================] - 0s 50ms/step - loss: 112816.0547 - val_loss: 41298.1172
Epoch 22/30
2/2 [==============================] - 0s 47ms/step - loss: 112766.4922 - val_loss: 41222.4336
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 112704.8125 - val_loss: 41162.6445
Epoch 24/30
2/2 [==============================] - 0s 41ms/step - loss: 112658.1016 - val_loss: 41179.9062
Epoch 25/30
2/2 [==============================] - 0s 40ms/step - loss: 112583.8750 - val_loss: 41138.9727
Epoch 26/30
2/2 [==============================] - 0s 42ms/step - loss: 112530.3359 - val_loss: 41142.8398
Epoch 27/30
2/2 [==============================] - 0s 45ms/step - loss: 112464.5391 - val_loss: 41122.1680
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 112428.0781 - val_loss: 41130.8828
Epoch 29/30
2/2 [==============================] - 0s 47ms/step - loss: 112362.2734 - val_loss: 41084.8438
Epoch 30/30
2/2 [==============================] - 0s 75ms/step - loss: 112339.1094 - val_loss: 41088.4727
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 86ms/step - loss: 112312.6875 - val_loss: 41106.8945
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 112260.2734 - val_loss: 41019.2500
Epoch 3/30
2/2 [==============================] - 0s 38ms/step - loss: 112155.1484 - val_loss: 40979.7227
Epoch 4/30
2/2 [==============================] - 0s 46ms/step - loss: 112119.2031 - val_loss: 40977.3125
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 112150.8438 - val_loss: 40930.8789
Epoch 6/30
2/2 [==============================] - 0s 53ms/step - loss: 112034.0547 - val_loss: 40866.4141
Epoch 7/30
2/2 [==============================] - 0s 59ms/step - loss: 112013.3672 - val_loss: 40866.5508
Epoch 8/30
2/2 [==============================] - 0s 55ms/step - loss: 111920.2969 - val_loss: 40833.8359
Epoch 9/30
2/2 [==============================] - 0s 52ms/step - loss: 111909.0000 - val_loss: 40773.5938
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 111822.6172 - val_loss: 40774.6484
Epoch 11/30
2/2 [==============================] - 0s 45ms/step - loss: 111815.7969 - val_loss: 40729.7109
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 111700.2578 - val_loss: 40714.0508
Epoch 13/30
2/2 [==============================] - 0s 48ms/step - loss: 111666.5391 - val_loss: 40700.2852
Epoch 14/30
2/2 [==============================] - 0s 39ms/step - loss: 111659.2422 - val_loss: 40639.4297
Epoch 15/30
2/2 [==============================] - 0s 42ms/step - loss: 111574.3828 - val_loss: 40634.9727
Epoch 16/30
2/2 [==============================] - 0s 39ms/step - loss: 111540.3203 - val_loss: 40651.4805
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 111455.3984 - val_loss: 40605.8945
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 111483.8750 - val_loss: 40586.7891
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 111400.8516 - val_loss: 40574.0859
Epoch 20/30
2/2 [==============================] - 0s 49ms/step - loss: 111300.0703 - val_loss: 40551.1953
Epoch 21/30
2/2 [==============================] - 0s 52ms/step - loss: 111265.8281 - val_loss: 40544.1562
Epoch 22/30
2/2 [==============================] - 0s 48ms/step - loss: 111203.0469 - val_loss: 40511.9062
Epoch 23/30
2/2 [==============================] - 0s 50ms/step - loss: 111161.2031 - val_loss: 40488.6641
Epoch 24/30
2/2 [==============================] - 0s 46ms/step - loss: 111109.7969 - val_loss: 40487.9453
Epoch 25/30
2/2 [==============================] - 0s 46ms/step - loss: 111079.0859 - val_loss: 40450.1211
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 111001.5234 - val_loss: 40441.9414
Epoch 27/30
2/2 [==============================] - 0s 41ms/step - loss: 110998.2578 - val_loss: 40383.2188
Epoch 28/30
2/2 [==============================] - 0s 47ms/step - loss: 110936.1719 - val_loss: 40360.1875
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 110840.7109 - val_loss: 40337.9922
Epoch 30/30
2/2 [==============================] - 0s 45ms/step - loss: 110813.9062 - val_loss: 40333.5039
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 100ms/step - loss: 110783.8594 - val_loss: 40293.8633
Epoch 2/30
2/2 [==============================] - 0s 47ms/step - loss: 110695.7422 - val_loss: 40261.1250
Epoch 3/30
2/2 [==============================] - 0s 46ms/step - loss: 110679.5547 - val_loss: 40196.4883
Epoch 4/30
2/2 [==============================] - 0s 52ms/step - loss: 110600.1016 - val_loss: 40193.6484
Epoch 5/30
2/2 [==============================] - 0s 53ms/step - loss: 110538.5547 - val_loss: 40155.8672
Epoch 6/30
2/2 [==============================] - 0s 55ms/step - loss: 110500.9219 - val_loss: 40107.2227
Epoch 7/30
2/2 [==============================] - 0s 45ms/step - loss: 110441.9844 - val_loss: 40089.6250
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 110424.9531 - val_loss: 40087.1289
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 110349.7656 - val_loss: 40078.1016
Epoch 10/30
2/2 [==============================] - 0s 46ms/step - loss: 110305.6016 - val_loss: 40031.4570
Epoch 11/30
2/2 [==============================] - 0s 38ms/step - loss: 110244.2812 - val_loss: 40011.0977
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 110213.6875 - val_loss: 40006.0703
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 110162.5391 - val_loss: 39940.5547
Epoch 14/30
2/2 [==============================] - 0s 41ms/step - loss: 110086.8125 - val_loss: 39912.1367
Epoch 15/30
2/2 [==============================] - 0s 44ms/step - loss: 110066.0312 - val_loss: 39873.2188
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 110005.5859 - val_loss: 39848.0430
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 109951.7578 - val_loss: 39810.0547
Epoch 18/30
2/2 [==============================] - 0s 41ms/step - loss: 109917.3750 - val_loss: 39829.2227
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 109849.1172 - val_loss: 39826.1875
Epoch 20/30
2/2 [==============================] - 0s 46ms/step - loss: 109827.1172 - val_loss: 39792.5273
Epoch 21/30
2/2 [==============================] - 0s 45ms/step - loss: 109779.0938 - val_loss: 39778.1445
Epoch 22/30
2/2 [==============================] - 0s 44ms/step - loss: 109697.1641 - val_loss: 39759.5352
Epoch 23/30
2/2 [==============================] - 0s 53ms/step - loss: 109665.3125 - val_loss: 39700.1484
Epoch 24/30
2/2 [==============================] - 0s 50ms/step - loss: 109658.6641 - val_loss: 39652.3125
Epoch 25/30
2/2 [==============================] - 0s 54ms/step - loss: 109532.1719 - val_loss: 39629.5820
Epoch 26/30
2/2 [==============================] - 0s 56ms/step - loss: 109513.5625 - val_loss: 39575.8516
Epoch 27/30
2/2 [==============================] - 0s 63ms/step - loss: 109461.6797 - val_loss: 39532.8828
Epoch 28/30
2/2 [==============================] - 0s 59ms/step - loss: 109403.5547 - val_loss: 39549.8203
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 109336.7422 - val_loss: 39515.4688
Epoch 30/30
2/2 [==============================] - 0s 46ms/step - loss: 109308.3438 - val_loss: 39528.0352
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 110ms/step - loss: 109231.9688 - val_loss: 39500.8945
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 109178.3047 - val_loss: 39470.4297
Epoch 3/30
2/2 [==============================] - 0s 46ms/step - loss: 109133.6250 - val_loss: 39457.5625
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 109085.8594 - val_loss: 39433.0938
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 109052.6016 - val_loss: 39406.1992
Epoch 6/30
2/2 [==============================] - 0s 44ms/step - loss: 108974.2578 - val_loss: 39392.6445
Epoch 7/30
2/2 [==============================] - 0s 47ms/step - loss: 108951.9844 - val_loss: 39398.8047
Epoch 8/30
2/2 [==============================] - 0s 44ms/step - loss: 108892.1719 - val_loss: 39383.9297
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 108842.4766 - val_loss: 39371.0039
Epoch 10/30
2/2 [==============================] - 0s 53ms/step - loss: 108816.7734 - val_loss: 39295.2930
Epoch 11/30
2/2 [==============================] - 0s 53ms/step - loss: 108743.6797 - val_loss: 39278.0820
Epoch 12/30
2/2 [==============================] - 0s 51ms/step - loss: 108677.1172 - val_loss: 39238.2422
Epoch 13/30
2/2 [==============================] - 0s 52ms/step - loss: 108627.3359 - val_loss: 39215.6875
Epoch 14/30
2/2 [==============================] - 0s 46ms/step - loss: 108587.0859 - val_loss: 39167.4062
Epoch 15/30
2/2 [==============================] - 0s 46ms/step - loss: 108533.7734 - val_loss: 39137.0898
Epoch 16/30
2/2 [==============================] - 0s 49ms/step - loss: 108475.3359 - val_loss: 39127.5938
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 108438.3516 - val_loss: 39098.4570
Epoch 18/30
2/2 [==============================] - 0s 45ms/step - loss: 108417.2891 - val_loss: 39079.0547
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 108335.2031 - val_loss: 39033.9453
Epoch 20/30
2/2 [==============================] - 0s 49ms/step - loss: 108278.3594 - val_loss: 39007.9297
Epoch 21/30
2/2 [==============================] - 0s 44ms/step - loss: 108229.5938 - val_loss: 38998.8125
Epoch 22/30
2/2 [==============================] - 0s 44ms/step - loss: 108194.1641 - val_loss: 38947.0820
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 108218.9688 - val_loss: 38910.4453
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 108069.6953 - val_loss: 38894.4297
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 108032.0547 - val_loss: 38864.0703
Epoch 26/30
2/2 [==============================] - 0s 47ms/step - loss: 107999.9609 - val_loss: 38876.5820
Epoch 27/30
2/2 [==============================] - 0s 57ms/step - loss: 107928.5391 - val_loss: 38851.6758
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 107929.3359 - val_loss: 38810.7695
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 107840.2344 - val_loss: 38810.6875
Epoch 30/30
2/2 [==============================] - 0s 44ms/step - loss: 107805.8906 - val_loss: 38789.9883
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 90ms/step - loss: 107769.1094 - val_loss: 38813.3203
Epoch 2/30
2/2 [==============================] - 0s 38ms/step - loss: 107668.3984 - val_loss: 38791.6016
Epoch 3/30
2/2 [==============================] - 0s 37ms/step - loss: 107658.8125 - val_loss: 38805.5547
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 107615.7812 - val_loss: 38780.7891
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 107521.8828 - val_loss: 38756.6055
Epoch 6/30
2/2 [==============================] - 0s 40ms/step - loss: 107508.6641 - val_loss: 38723.1016
Epoch 7/30
2/2 [==============================] - 0s 48ms/step - loss: 107436.4297 - val_loss: 38656.4453
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 107366.2891 - val_loss: 38635.0508
Epoch 9/30
2/2 [==============================] - 0s 40ms/step - loss: 107359.2344 - val_loss: 38633.0664
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 107289.1406 - val_loss: 38580.9141
Epoch 11/30
2/2 [==============================] - 0s 40ms/step - loss: 107215.9531 - val_loss: 38534.8477
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 107180.6328 - val_loss: 38479.0664
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 107209.7969 - val_loss: 38502.4766
Epoch 14/30
2/2 [==============================] - 0s 36ms/step - loss: 107058.4219 - val_loss: 38461.2539
Epoch 15/30
2/2 [==============================] - 0s 41ms/step - loss: 107015.9688 - val_loss: 38430.4375
Epoch 16/30
2/2 [==============================] - 0s 42ms/step - loss: 107042.3984 - val_loss: 38400.5078
Epoch 17/30
2/2 [==============================] - 0s 42ms/step - loss: 106929.3203 - val_loss: 38369.6055
Epoch 18/30
2/2 [==============================] - 0s 41ms/step - loss: 106876.6406 - val_loss: 38343.3984
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 106838.9688 - val_loss: 38296.9336
Epoch 20/30
2/2 [==============================] - 0s 43ms/step - loss: 106808.2578 - val_loss: 38243.7070
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 106735.0469 - val_loss: 38201.4727
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 106780.0781 - val_loss: 38173.7461
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 106644.7812 - val_loss: 38129.0273
Epoch 24/30
2/2 [==============================] - 0s 42ms/step - loss: 106577.9531 - val_loss: 38105.8750
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 106524.5547 - val_loss: 38104.7461
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 106469.3594 - val_loss: 38088.8203
Epoch 27/30
2/2 [==============================] - 0s 42ms/step - loss: 106461.6328 - val_loss: 38043.0352
Epoch 28/30
2/2 [==============================] - 0s 41ms/step - loss: 106377.8125 - val_loss: 38052.1328
Epoch 29/30
2/2 [==============================] - 0s 44ms/step - loss: 106319.4766 - val_loss: 38065.5000
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 106265.5781 - val_loss: 38059.2930
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 78ms/step - loss: 106219.1641 - val_loss: 38060.1680
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 106185.2656 - val_loss: 38058.1836
Epoch 3/30
2/2 [==============================] - 0s 40ms/step - loss: 106173.3828 - val_loss: 38032.7500
Epoch 4/30
2/2 [==============================] - 0s 46ms/step - loss: 106083.7969 - val_loss: 38029.6211
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 106016.4453 - val_loss: 37999.2500
Epoch 6/30
2/2 [==============================] - 0s 56ms/step - loss: 105965.3047 - val_loss: 37986.8477
Epoch 7/30
2/2 [==============================] - 0s 52ms/step - loss: 105952.9688 - val_loss: 37969.2500
Epoch 8/30
2/2 [==============================] - 0s 42ms/step - loss: 105868.5234 - val_loss: 37927.4570
Epoch 9/30
2/2 [==============================] - 0s 39ms/step - loss: 105914.0312 - val_loss: 37884.3047
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 105761.2188 - val_loss: 37858.2734
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 105724.7656 - val_loss: 37813.4141
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 105684.9062 - val_loss: 37815.6680
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 105634.4844 - val_loss: 37767.4453
Epoch 14/30
2/2 [==============================] - 0s 47ms/step - loss: 105616.7422 - val_loss: 37743.4648
Epoch 15/30
2/2 [==============================] - 0s 40ms/step - loss: 105532.0938 - val_loss: 37699.6836
Epoch 16/30
2/2 [==============================] - 0s 46ms/step - loss: 105496.7969 - val_loss: 37708.8086
Epoch 17/30
2/2 [==============================] - 0s 42ms/step - loss: 105421.9453 - val_loss: 37689.4883
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 105387.6719 - val_loss: 37672.1797
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 105360.0000 - val_loss: 37609.0391
Epoch 20/30
2/2 [==============================] - 0s 38ms/step - loss: 105270.0938 - val_loss: 37590.4492
Epoch 21/30
2/2 [==============================] - 0s 39ms/step - loss: 105237.0625 - val_loss: 37578.1758
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 105175.0312 - val_loss: 37544.8047
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 105147.3359 - val_loss: 37520.5898
Epoch 24/30
2/2 [==============================] - 0s 37ms/step - loss: 105097.2422 - val_loss: 37507.7695
Epoch 25/30
2/2 [==============================] - 0s 39ms/step - loss: 105024.0938 - val_loss: 37486.9883
Epoch 26/30
2/2 [==============================] - 0s 41ms/step - loss: 105038.4141 - val_loss: 37471.7422
Epoch 27/30
2/2 [==============================] - 0s 45ms/step - loss: 104933.3047 - val_loss: 37465.7383
Epoch 28/30
2/2 [==============================] - 0s 43ms/step - loss: 104881.0781 - val_loss: 37434.1602
Epoch 29/30
2/2 [==============================] - 0s 41ms/step - loss: 104866.6172 - val_loss: 37400.9531
Epoch 30/30
2/2 [==============================] - 0s 41ms/step - loss: 104796.4531 - val_loss: 37395.7305
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 93ms/step - loss: 104724.6484 - val_loss: 37373.2617
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 104673.2656 - val_loss: 37342.6523
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 104660.2031 - val_loss: 37348.5000
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 104569.6953 - val_loss: 37302.5625
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 104522.0859 - val_loss: 37261.4258
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 104473.6484 - val_loss: 37231.0859
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 104440.4141 - val_loss: 37214.1562
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 104381.1250 - val_loss: 37185.3672
Epoch 9/30
2/2 [==============================] - 0s 37ms/step - loss: 104376.8281 - val_loss: 37136.3984
Epoch 10/30
2/2 [==============================] - 0s 43ms/step - loss: 104287.9688 - val_loss: 37084.9336
Epoch 11/30
2/2 [==============================] - 0s 40ms/step - loss: 104282.7969 - val_loss: 37089.3984
Epoch 12/30
2/2 [==============================] - 0s 44ms/step - loss: 104197.2031 - val_loss: 37045.7227
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 104144.9609 - val_loss: 37001.9570
Epoch 14/30
2/2 [==============================] - 0s 49ms/step - loss: 104219.2188 - val_loss: 36990.5977
Epoch 15/30
2/2 [==============================] - 0s 50ms/step - loss: 104040.0938 - val_loss: 36964.6680
Epoch 16/30
2/2 [==============================] - 0s 51ms/step - loss: 103999.7969 - val_loss: 36970.6797
Epoch 17/30
2/2 [==============================] - 0s 51ms/step - loss: 103936.7422 - val_loss: 36952.7305
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 103978.4531 - val_loss: 36920.3086
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 103867.9375 - val_loss: 36901.8359
Epoch 20/30
2/2 [==============================] - 0s 48ms/step - loss: 103790.0469 - val_loss: 36868.1016
Epoch 21/30
2/2 [==============================] - 0s 45ms/step - loss: 103737.4531 - val_loss: 36846.9688
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 103684.8750 - val_loss: 36826.2109
Epoch 23/30
2/2 [==============================] - 0s 43ms/step - loss: 103639.1719 - val_loss: 36805.1680
Epoch 24/30
2/2 [==============================] - 0s 45ms/step - loss: 103663.0000 - val_loss: 36823.0508
Epoch 25/30
2/2 [==============================] - 0s 50ms/step - loss: 103607.4844 - val_loss: 36763.3984
Epoch 26/30
2/2 [==============================] - 0s 47ms/step - loss: 103486.6797 - val_loss: 36735.4648
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 103443.5859 - val_loss: 36713.1289
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 103428.6328 - val_loss: 36704.3242
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 103341.8594 - val_loss: 36697.8555
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 103338.5547 - val_loss: 36716.8789
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 93ms/step - loss: 103328.9531 - val_loss: 36699.3633
Epoch 2/30
2/2 [==============================] - 0s 36ms/step - loss: 103237.0156 - val_loss: 36652.9805
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 103142.6328 - val_loss: 36628.8477
Epoch 4/30
2/2 [==============================] - 0s 43ms/step - loss: 103140.0781 - val_loss: 36572.1836
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 103042.9531 - val_loss: 36557.9023
Epoch 6/30
2/2 [==============================] - 0s 44ms/step - loss: 103009.0625 - val_loss: 36557.3320
Epoch 7/30
2/2 [==============================] - 0s 42ms/step - loss: 103003.1797 - val_loss: 36555.3398
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 102913.5391 - val_loss: 36535.4961
Epoch 9/30
2/2 [==============================] - 0s 41ms/step - loss: 102929.2578 - val_loss: 36458.4180
Epoch 10/30
2/2 [==============================] - 0s 48ms/step - loss: 102903.5078 - val_loss: 36439.5664
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 102750.9062 - val_loss: 36425.2695
Epoch 12/30
2/2 [==============================] - 0s 45ms/step - loss: 102710.0234 - val_loss: 36418.5586
Epoch 13/30
2/2 [==============================] - 0s 39ms/step - loss: 102666.0391 - val_loss: 36385.0859
Epoch 14/30
2/2 [==============================] - 0s 40ms/step - loss: 102604.0156 - val_loss: 36353.9727
Epoch 15/30
2/2 [==============================] - 0s 44ms/step - loss: 102595.5859 - val_loss: 36363.4766
Epoch 16/30
2/2 [==============================] - 0s 46ms/step - loss: 102514.4375 - val_loss: 36331.4180
Epoch 17/30
2/2 [==============================] - 0s 55ms/step - loss: 102485.3984 - val_loss: 36330.5820
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 102424.5312 - val_loss: 36300.0664
Epoch 19/30
2/2 [==============================] - 0s 56ms/step - loss: 102391.5625 - val_loss: 36262.3633
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 102352.7969 - val_loss: 36245.7617
Epoch 21/30
2/2 [==============================] - 0s 48ms/step - loss: 102296.3203 - val_loss: 36238.0430
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 102259.0156 - val_loss: 36209.2617
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 102210.8047 - val_loss: 36207.9648
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 102155.1797 - val_loss: 36140.6172
Epoch 25/30
2/2 [==============================] - 0s 45ms/step - loss: 102099.7109 - val_loss: 36101.5430
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 102033.6094 - val_loss: 36080.5352
Epoch 27/30
2/2 [==============================] - 0s 44ms/step - loss: 101976.0781 - val_loss: 36062.3828
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 101951.4453 - val_loss: 36045.7617
Epoch 29/30
2/2 [==============================] - 0s 46ms/step - loss: 101889.7109 - val_loss: 36007.6758
Epoch 30/30
2/2 [==============================] - 0s 51ms/step - loss: 101850.7734 - val_loss: 35980.5859
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 93ms/step - loss: 101790.8750 - val_loss: 35952.1289
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 101763.0938 - val_loss: 35947.1602
Epoch 3/30
2/2 [==============================] - 0s 44ms/step - loss: 101730.0156 - val_loss: 35889.3398
Epoch 4/30
2/2 [==============================] - 0s 42ms/step - loss: 101658.7656 - val_loss: 35885.8750
Epoch 5/30
2/2 [==============================] - 0s 42ms/step - loss: 101595.1875 - val_loss: 35876.5312
Epoch 6/30
2/2 [==============================] - 0s 44ms/step - loss: 101566.6719 - val_loss: 35853.5508
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 101493.5234 - val_loss: 35831.4023
Epoch 8/30
2/2 [==============================] - 0s 43ms/step - loss: 101457.3594 - val_loss: 35829.9766
Epoch 9/30
2/2 [==============================] - 0s 40ms/step - loss: 101407.9375 - val_loss: 35786.8359
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 101360.2891 - val_loss: 35770.4297
Epoch 11/30
2/2 [==============================] - 0s 42ms/step - loss: 101319.3047 - val_loss: 35750.1758
Epoch 12/30
2/2 [==============================] - 0s 44ms/step - loss: 101262.8125 - val_loss: 35711.3438
Epoch 13/30
2/2 [==============================] - 0s 41ms/step - loss: 101221.9688 - val_loss: 35689.8984
Epoch 14/30
2/2 [==============================] - 0s 43ms/step - loss: 101197.4766 - val_loss: 35654.7695
Epoch 15/30
2/2 [==============================] - 0s 54ms/step - loss: 101154.2188 - val_loss: 35667.6367
Epoch 16/30
2/2 [==============================] - 0s 55ms/step - loss: 101169.0156 - val_loss: 35642.1172
Epoch 17/30
2/2 [==============================] - 0s 61ms/step - loss: 101027.5234 - val_loss: 35609.0781
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 100990.0547 - val_loss: 35619.3125
Epoch 19/30
2/2 [==============================] - 0s 57ms/step - loss: 100927.8906 - val_loss: 35611.3789
Epoch 20/30
2/2 [==============================] - 0s 47ms/step - loss: 100902.3828 - val_loss: 35564.3984
Epoch 21/30
2/2 [==============================] - 0s 53ms/step - loss: 100836.7109 - val_loss: 35535.3398
Epoch 22/30
2/2 [==============================] - 0s 51ms/step - loss: 100802.5234 - val_loss: 35554.3984
Epoch 23/30
2/2 [==============================] - 0s 41ms/step - loss: 100726.6484 - val_loss: 35536.0391
Epoch 24/30
2/2 [==============================] - 0s 42ms/step - loss: 100756.1406 - val_loss: 35566.2930
Epoch 25/30
2/2 [==============================] - 0s 43ms/step - loss: 100633.3281 - val_loss: 35524.7461
Epoch 26/30
2/2 [==============================] - 0s 42ms/step - loss: 100580.6562 - val_loss: 35503.1055
Epoch 27/30
2/2 [==============================] - 0s 47ms/step - loss: 100625.2812 - val_loss: 35473.9180
Epoch 28/30
2/2 [==============================] - 0s 51ms/step - loss: 100520.3359 - val_loss: 35479.1523
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 100445.7812 - val_loss: 35431.0898
Epoch 30/30
2/2 [==============================] - 0s 51ms/step - loss: 100439.2734 - val_loss: 35374.0234
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 86ms/step - loss: 100346.1641 - val_loss: 35373.3320
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 100354.3359 - val_loss: 35343.8672
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 100273.2188 - val_loss: 35348.3320
Epoch 4/30
2/2 [==============================] - 0s 39ms/step - loss: 100230.9609 - val_loss: 35330.3438
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 100146.6250 - val_loss: 35296.5312
Epoch 6/30
2/2 [==============================] - 0s 47ms/step - loss: 100095.8750 - val_loss: 35271.9453
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 100055.2891 - val_loss: 35246.0859
Epoch 8/30
2/2 [==============================] - 0s 38ms/step - loss: 100054.1719 - val_loss: 35216.9492
Epoch 9/30
2/2 [==============================] - 0s 40ms/step - loss: 100042.0625 - val_loss: 35177.4141
Epoch 10/30
2/2 [==============================] - 0s 38ms/step - loss: 99910.9062 - val_loss: 35168.1797
Epoch 11/30
2/2 [==============================] - 0s 38ms/step - loss: 99896.9766 - val_loss: 35124.6562
Epoch 12/30
2/2 [==============================] - 0s 49ms/step - loss: 99842.1250 - val_loss: 35137.1562
Epoch 13/30
2/2 [==============================] - 0s 54ms/step - loss: 99769.8125 - val_loss: 35119.3242
Epoch 14/30
2/2 [==============================] - 0s 48ms/step - loss: 99718.8594 - val_loss: 35097.9766
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 99689.4375 - val_loss: 35060.5742
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 99665.5859 - val_loss: 35065.7969
Epoch 17/30
2/2 [==============================] - 0s 39ms/step - loss: 99619.4844 - val_loss: 35047.9258
Epoch 18/30
2/2 [==============================] - 0s 41ms/step - loss: 99535.6797 - val_loss: 35033.6602
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 99585.4922 - val_loss: 35035.4453
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 99470.5000 - val_loss: 35032.4141
Epoch 21/30
2/2 [==============================] - 0s 43ms/step - loss: 99387.9844 - val_loss: 35004.8203
Epoch 22/30
2/2 [==============================] - 0s 46ms/step - loss: 99365.2969 - val_loss: 34952.4922
Epoch 23/30
2/2 [==============================] - 0s 42ms/step - loss: 99290.6094 - val_loss: 34922.5352
Epoch 24/30
2/2 [==============================] - 0s 40ms/step - loss: 99321.4453 - val_loss: 34904.9570
Epoch 25/30
2/2 [==============================] - 0s 53ms/step - loss: 99244.7734 - val_loss: 34852.8867
Epoch 26/30
2/2 [==============================] - 0s 48ms/step - loss: 99180.5859 - val_loss: 34826.1484
Epoch 27/30
2/2 [==============================] - 0s 46ms/step - loss: 99107.8750 - val_loss: 34822.7227
Epoch 28/30
2/2 [==============================] - 0s 53ms/step - loss: 99100.3125 - val_loss: 34778.0938
Epoch 29/30
2/2 [==============================] - 0s 55ms/step - loss: 99026.6172 - val_loss: 34780.4727
Epoch 30/30
2/2 [==============================] - 0s 52ms/step - loss: 98974.5547 - val_loss: 34781.7188
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 98ms/step - loss: 98945.7734 - val_loss: 34778.4844
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 98888.5547 - val_loss: 34772.6445
Epoch 3/30
2/2 [==============================] - 0s 48ms/step - loss: 98844.2109 - val_loss: 34763.4688
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 98807.0469 - val_loss: 34751.9922
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 98786.0781 - val_loss: 34702.5703
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 98696.8906 - val_loss: 34682.4648
Epoch 7/30
2/2 [==============================] - 0s 45ms/step - loss: 98684.2891 - val_loss: 34621.8906
Epoch 8/30
2/2 [==============================] - 0s 45ms/step - loss: 98653.4297 - val_loss: 34636.0664
Epoch 9/30
2/2 [==============================] - 0s 45ms/step - loss: 98600.0156 - val_loss: 34574.3398
Epoch 10/30
2/2 [==============================] - 0s 47ms/step - loss: 98498.5078 - val_loss: 34554.8086
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 98468.9062 - val_loss: 34519.5547
Epoch 12/30
2/2 [==============================] - 0s 54ms/step - loss: 98402.7656 - val_loss: 34509.1289
Epoch 13/30
2/2 [==============================] - 0s 59ms/step - loss: 98353.3438 - val_loss: 34493.2227
Epoch 14/30
2/2 [==============================] - 0s 47ms/step - loss: 98359.1250 - val_loss: 34491.0000
Epoch 15/30
2/2 [==============================] - 0s 46ms/step - loss: 98325.8281 - val_loss: 34480.5039
Epoch 16/30
2/2 [==============================] - 0s 44ms/step - loss: 98246.5703 - val_loss: 34438.4297
Epoch 17/30
2/2 [==============================] - 0s 42ms/step - loss: 98176.3359 - val_loss: 34433.7578
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 98131.9062 - val_loss: 34416.2695
Epoch 19/30
2/2 [==============================] - 0s 47ms/step - loss: 98121.0859 - val_loss: 34373.8086
Epoch 20/30
2/2 [==============================] - 0s 41ms/step - loss: 98104.6719 - val_loss: 34376.8125
Epoch 21/30
2/2 [==============================] - 0s 42ms/step - loss: 97998.8516 - val_loss: 34371.9570
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 97975.1094 - val_loss: 34344.3867
Epoch 23/30
2/2 [==============================] - 0s 45ms/step - loss: 97953.4453 - val_loss: 34349.7930
Epoch 24/30
2/2 [==============================] - 0s 45ms/step - loss: 97911.7422 - val_loss: 34292.1602
Epoch 25/30
2/2 [==============================] - 0s 41ms/step - loss: 97829.3203 - val_loss: 34285.2930
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 97759.6641 - val_loss: 34255.5352
Epoch 27/30
2/2 [==============================] - 0s 44ms/step - loss: 97722.8281 - val_loss: 34245.2734
Epoch 28/30
2/2 [==============================] - 0s 42ms/step - loss: 97681.5078 - val_loss: 34220.7930
Epoch 29/30
2/2 [==============================] - 0s 39ms/step - loss: 97676.8984 - val_loss: 34193.9961
Epoch 30/30
2/2 [==============================] - 0s 47ms/step - loss: 97654.1875 - val_loss: 34167.0547
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 96ms/step - loss: 97543.9219 - val_loss: 34173.0117
Epoch 2/30
2/2 [==============================] - 0s 38ms/step - loss: 97495.4141 - val_loss: 34138.3320
Epoch 3/30
2/2 [==============================] - 0s 38ms/step - loss: 97485.7188 - val_loss: 34152.9727
Epoch 4/30
2/2 [==============================] - 0s 42ms/step - loss: 97428.0078 - val_loss: 34138.0039
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 97352.7734 - val_loss: 34136.0234
Epoch 6/30
2/2 [==============================] - 0s 42ms/step - loss: 97352.6016 - val_loss: 34120.9766
Epoch 7/30
2/2 [==============================] - 0s 42ms/step - loss: 97246.4922 - val_loss: 34090.9297
Epoch 8/30
2/2 [==============================] - 0s 46ms/step - loss: 97208.4453 - val_loss: 34054.8242
Epoch 9/30
2/2 [==============================] - 0s 35ms/step - loss: 97192.5078 - val_loss: 34008.6641
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 97158.0469 - val_loss: 34022.1445
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 97072.3359 - val_loss: 34007.3828
Epoch 12/30
2/2 [==============================] - 0s 43ms/step - loss: 97055.8125 - val_loss: 33971.9414
Epoch 13/30
2/2 [==============================] - 0s 40ms/step - loss: 96990.7812 - val_loss: 33953.2578
Epoch 14/30
2/2 [==============================] - 0s 38ms/step - loss: 96967.0312 - val_loss: 33952.6523
Epoch 15/30
2/2 [==============================] - 0s 42ms/step - loss: 96890.8750 - val_loss: 33929.7500
Epoch 16/30
2/2 [==============================] - 0s 42ms/step - loss: 96850.6328 - val_loss: 33911.3984
Epoch 17/30
2/2 [==============================] - 0s 43ms/step - loss: 96808.5703 - val_loss: 33879.3125
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 96782.5391 - val_loss: 33881.0977
Epoch 19/30
2/2 [==============================] - 0s 40ms/step - loss: 96719.1406 - val_loss: 33873.2227
Epoch 20/30
2/2 [==============================] - 0s 51ms/step - loss: 96716.0781 - val_loss: 33841.3867
Epoch 21/30
2/2 [==============================] - 0s 47ms/step - loss: 96615.3984 - val_loss: 33812.2109
Epoch 22/30
2/2 [==============================] - 0s 48ms/step - loss: 96581.7344 - val_loss: 33769.4648
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 96562.7656 - val_loss: 33752.2266
Epoch 24/30
2/2 [==============================] - 0s 44ms/step - loss: 96498.7109 - val_loss: 33749.8633
Epoch 25/30
2/2 [==============================] - 0s 43ms/step - loss: 96420.8594 - val_loss: 33725.4297
Epoch 26/30
2/2 [==============================] - 0s 43ms/step - loss: 96423.8750 - val_loss: 33688.6133
Epoch 27/30
2/2 [==============================] - 0s 41ms/step - loss: 96336.0938 - val_loss: 33679.5703
Epoch 28/30
2/2 [==============================] - 0s 48ms/step - loss: 96314.7812 - val_loss: 33641.0703
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 96240.4453 - val_loss: 33627.3945
Epoch 30/30
2/2 [==============================] - 0s 44ms/step - loss: 96242.5391 - val_loss: 33622.5391
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 92ms/step - loss: 96163.5859 - val_loss: 33615.3359
Epoch 2/30
2/2 [==============================] - 0s 48ms/step - loss: 96110.4688 - val_loss: 33589.4922
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 96070.0625 - val_loss: 33566.3359
Epoch 4/30
2/2 [==============================] - 0s 52ms/step - loss: 96018.0625 - val_loss: 33555.9102
Epoch 5/30
2/2 [==============================] - 0s 45ms/step - loss: 96071.6250 - val_loss: 33500.3164
Epoch 6/30
2/2 [==============================] - 0s 52ms/step - loss: 95954.7266 - val_loss: 33485.2070
Epoch 7/30
2/2 [==============================] - 0s 53ms/step - loss: 95901.4609 - val_loss: 33481.8398
Epoch 8/30
2/2 [==============================] - 0s 54ms/step - loss: 95861.1172 - val_loss: 33491.0391
Epoch 9/30
2/2 [==============================] - 0s 58ms/step - loss: 95796.3047 - val_loss: 33481.0273
Epoch 10/30
2/2 [==============================] - 0s 52ms/step - loss: 95778.6953 - val_loss: 33467.8008
Epoch 11/30
2/2 [==============================] - 0s 58ms/step - loss: 95702.0781 - val_loss: 33459.9062
Epoch 12/30
2/2 [==============================] - 0s 54ms/step - loss: 95677.9297 - val_loss: 33428.4023
Epoch 13/30
2/2 [==============================] - 0s 46ms/step - loss: 95612.4609 - val_loss: 33411.2461
Epoch 14/30
2/2 [==============================] - 0s 50ms/step - loss: 95585.8906 - val_loss: 33398.1133
Epoch 15/30
2/2 [==============================] - 0s 55ms/step - loss: 95549.3281 - val_loss: 33382.4531
Epoch 16/30
2/2 [==============================] - 0s 47ms/step - loss: 95500.8203 - val_loss: 33367.0273
Epoch 17/30
2/2 [==============================] - 0s 51ms/step - loss: 95427.1875 - val_loss: 33356.6250
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 95394.8125 - val_loss: 33352.2070
Epoch 19/30
2/2 [==============================] - 0s 53ms/step - loss: 95341.5234 - val_loss: 33333.4336
Epoch 20/30
2/2 [==============================] - 0s 56ms/step - loss: 95311.2422 - val_loss: 33300.1367
Epoch 21/30
2/2 [==============================] - 0s 48ms/step - loss: 95255.3594 - val_loss: 33272.4180
Epoch 22/30
2/2 [==============================] - 0s 47ms/step - loss: 95250.2031 - val_loss: 33260.5195
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 95217.7812 - val_loss: 33269.8672
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 95137.9453 - val_loss: 33264.8633
Epoch 25/30
2/2 [==============================] - 0s 45ms/step - loss: 95121.2344 - val_loss: 33246.8242
Epoch 26/30
2/2 [==============================] - 0s 38ms/step - loss: 95076.7266 - val_loss: 33253.2930
Epoch 27/30
2/2 [==============================] - 0s 45ms/step - loss: 94986.8906 - val_loss: 33226.0195
Epoch 28/30
2/2 [==============================] - 0s 38ms/step - loss: 94934.0391 - val_loss: 33203.8203
Epoch 29/30
2/2 [==============================] - 0s 42ms/step - loss: 94922.0391 - val_loss: 33180.3281
Epoch 30/30
2/2 [==============================] - 0s 40ms/step - loss: 94911.5703 - val_loss: 33158.3945
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 89ms/step - loss: 94892.5547 - val_loss: 33102.8008
Epoch 2/30
2/2 [==============================] - 0s 40ms/step - loss: 94810.3125 - val_loss: 33093.7383
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 94764.9844 - val_loss: 33082.5000
Epoch 4/30
2/2 [==============================] - 0s 44ms/step - loss: 94763.6094 - val_loss: 33034.3359
Epoch 5/30
2/2 [==============================] - 0s 37ms/step - loss: 94626.0703 - val_loss: 33024.5430
Epoch 6/30
2/2 [==============================] - 0s 38ms/step - loss: 94585.8672 - val_loss: 32999.9180
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 94534.4609 - val_loss: 32978.6641
Epoch 8/30
2/2 [==============================] - 0s 52ms/step - loss: 94538.8438 - val_loss: 32981.1953
Epoch 9/30
2/2 [==============================] - 0s 56ms/step - loss: 94447.1016 - val_loss: 32963.8711
Epoch 10/30
2/2 [==============================] - 0s 49ms/step - loss: 94454.4141 - val_loss: 32965.5820
Epoch 11/30
2/2 [==============================] - 0s 43ms/step - loss: 94364.5078 - val_loss: 32953.2773
Epoch 12/30
2/2 [==============================] - 0s 47ms/step - loss: 94383.8750 - val_loss: 32935.2773
Epoch 13/30
2/2 [==============================] - 0s 42ms/step - loss: 94292.2109 - val_loss: 32924.0352
Epoch 14/30
2/2 [==============================] - 0s 72ms/step - loss: 94242.8594 - val_loss: 32888.6914
Epoch 15/30
2/2 [==============================] - 0s 54ms/step - loss: 94185.4062 - val_loss: 32867.9766
Epoch 16/30
2/2 [==============================] - 0s 61ms/step - loss: 94180.2891 - val_loss: 32855.7461
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 94095.5547 - val_loss: 32831.1719
Epoch 18/30
2/2 [==============================] - 0s 46ms/step - loss: 94076.1250 - val_loss: 32799.0508
Epoch 19/30
2/2 [==============================] - 0s 46ms/step - loss: 94019.3047 - val_loss: 32781.2344
Epoch 20/30
2/2 [==============================] - 0s 41ms/step - loss: 93991.1875 - val_loss: 32778.6133
Epoch 21/30
2/2 [==============================] - 0s 43ms/step - loss: 93954.6562 - val_loss: 32772.5117
Epoch 22/30
2/2 [==============================] - 0s 41ms/step - loss: 93868.7656 - val_loss: 32758.2773
Epoch 23/30
2/2 [==============================] - 0s 48ms/step - loss: 93836.9297 - val_loss: 32754.4590
Epoch 24/30
2/2 [==============================] - 0s 44ms/step - loss: 93780.8047 - val_loss: 32734.7402
Epoch 25/30
2/2 [==============================] - 0s 55ms/step - loss: 93742.2891 - val_loss: 32719.6445
Epoch 26/30
2/2 [==============================] - 0s 46ms/step - loss: 93742.5781 - val_loss: 32721.0273
Epoch 27/30
2/2 [==============================] - 0s 53ms/step - loss: 93684.4609 - val_loss: 32721.6465
Epoch 28/30
2/2 [==============================] - 0s 43ms/step - loss: 93612.3047 - val_loss: 32697.5723
Epoch 29/30
2/2 [==============================] - 0s 47ms/step - loss: 93618.1719 - val_loss: 32658.4805
Epoch 30/30
2/2 [==============================] - 0s 51ms/step - loss: 93559.2734 - val_loss: 32627.2148
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 89ms/step - loss: 93493.3281 - val_loss: 32631.9062
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 93468.4609 - val_loss: 32635.8184
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 93444.0078 - val_loss: 32615.3633
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 93374.5078 - val_loss: 32598.6367
Epoch 5/30
2/2 [==============================] - 0s 46ms/step - loss: 93300.8750 - val_loss: 32574.1035
Epoch 6/30
2/2 [==============================] - 0s 64ms/step - loss: 93292.3828 - val_loss: 32560.9727
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 93270.5703 - val_loss: 32529.8125
Epoch 8/30
2/2 [==============================] - 0s 51ms/step - loss: 93181.4688 - val_loss: 32519.0176
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 93130.9219 - val_loss: 32503.2559
Epoch 10/30
2/2 [==============================] - 0s 41ms/step - loss: 93094.6328 - val_loss: 32498.6211
Epoch 11/30
2/2 [==============================] - 0s 52ms/step - loss: 93041.0625 - val_loss: 32482.4082
Epoch 12/30
2/2 [==============================] - 0s 55ms/step - loss: 93033.7812 - val_loss: 32489.7930
Epoch 13/30
2/2 [==============================] - 0s 52ms/step - loss: 92978.3672 - val_loss: 32486.9375
Epoch 14/30
2/2 [==============================] - 0s 53ms/step - loss: 92953.9844 - val_loss: 32449.8125
Epoch 15/30
2/2 [==============================] - 0s 50ms/step - loss: 92878.1562 - val_loss: 32438.7012
Epoch 16/30
2/2 [==============================] - 0s 43ms/step - loss: 92891.1562 - val_loss: 32444.8711
Epoch 17/30
2/2 [==============================] - 0s 42ms/step - loss: 92826.1953 - val_loss: 32396.5273
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 92764.8281 - val_loss: 32353.4062
Epoch 19/30
2/2 [==============================] - 0s 45ms/step - loss: 92711.8047 - val_loss: 32330.0000
Epoch 20/30
2/2 [==============================] - 0s 43ms/step - loss: 92680.3984 - val_loss: 32299.8711
Epoch 21/30
2/2 [==============================] - 0s 64ms/step - loss: 92606.6641 - val_loss: 32288.7871
Epoch 22/30
2/2 [==============================] - 0s 63ms/step - loss: 92588.7266 - val_loss: 32290.5605
Epoch 23/30
2/2 [==============================] - 0s 58ms/step - loss: 92564.6797 - val_loss: 32295.0605
Epoch 24/30
2/2 [==============================] - 0s 65ms/step - loss: 92493.4922 - val_loss: 32263.9434
Epoch 25/30
2/2 [==============================] - 0s 56ms/step - loss: 92439.7188 - val_loss: 32251.5645
Epoch 26/30
2/2 [==============================] - 0s 52ms/step - loss: 92449.9375 - val_loss: 32257.9121
Epoch 27/30
2/2 [==============================] - 0s 61ms/step - loss: 92401.6797 - val_loss: 32225.3652
Epoch 28/30
2/2 [==============================] - 0s 66ms/step - loss: 92335.9375 - val_loss: 32203.6387
Epoch 29/30
2/2 [==============================] - 0s 64ms/step - loss: 92277.7578 - val_loss: 32173.8594
Epoch 30/30
2/2 [==============================] - 0s 54ms/step - loss: 92254.2031 - val_loss: 32178.2227
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 99ms/step - loss: 92191.5859 - val_loss: 32160.6152
Epoch 2/30
2/2 [==============================] - 0s 42ms/step - loss: 92132.1484 - val_loss: 32141.1426
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 92112.0156 - val_loss: 32129.5645
Epoch 4/30
2/2 [==============================] - 0s 52ms/step - loss: 92077.6641 - val_loss: 32120.1855
Epoch 5/30
2/2 [==============================] - 0s 50ms/step - loss: 92007.7656 - val_loss: 32099.1875
Epoch 6/30
2/2 [==============================] - 0s 46ms/step - loss: 91971.2656 - val_loss: 32090.9941
Epoch 7/30
2/2 [==============================] - 0s 44ms/step - loss: 91921.3984 - val_loss: 32068.7402
Epoch 8/30
2/2 [==============================] - 0s 46ms/step - loss: 91887.5234 - val_loss: 32048.9824
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 91863.0625 - val_loss: 32018.7051
Epoch 10/30
2/2 [==============================] - 0s 54ms/step - loss: 91808.8125 - val_loss: 32013.1445
Epoch 11/30
2/2 [==============================] - 0s 58ms/step - loss: 91798.9609 - val_loss: 32021.8438
Epoch 12/30
2/2 [==============================] - 0s 57ms/step - loss: 91716.1406 - val_loss: 31996.6660
Epoch 13/30
2/2 [==============================] - 0s 57ms/step - loss: 91702.6172 - val_loss: 31974.8105
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 91666.3438 - val_loss: 31983.6074
Epoch 15/30
2/2 [==============================] - 0s 53ms/step - loss: 91591.9531 - val_loss: 31958.8438
Epoch 16/30
2/2 [==============================] - 0s 58ms/step - loss: 91585.8750 - val_loss: 31922.8242
Epoch 17/30
2/2 [==============================] - 0s 54ms/step - loss: 91525.7812 - val_loss: 31932.3223
Epoch 18/30
2/2 [==============================] - 0s 55ms/step - loss: 91465.9688 - val_loss: 31915.3887
Epoch 19/30
2/2 [==============================] - 0s 52ms/step - loss: 91428.3594 - val_loss: 31903.2852
Epoch 20/30
2/2 [==============================] - 0s 54ms/step - loss: 91398.9453 - val_loss: 31875.2500
Epoch 21/30
2/2 [==============================] - 0s 52ms/step - loss: 91343.7266 - val_loss: 31873.1211
Epoch 22/30
2/2 [==============================] - 0s 51ms/step - loss: 91291.8984 - val_loss: 31865.9492
Epoch 23/30
2/2 [==============================] - 0s 45ms/step - loss: 91249.3047 - val_loss: 31856.3867
Epoch 24/30
2/2 [==============================] - 0s 56ms/step - loss: 91202.0781 - val_loss: 31838.3926
Epoch 25/30
2/2 [==============================] - 0s 50ms/step - loss: 91189.1250 - val_loss: 31835.4473
Epoch 26/30
2/2 [==============================] - 0s 50ms/step - loss: 91138.2266 - val_loss: 31837.0117
Epoch 27/30
2/2 [==============================] - 0s 51ms/step - loss: 91123.5078 - val_loss: 31829.1699
Epoch 28/30
2/2 [==============================] - 0s 51ms/step - loss: 91075.4453 - val_loss: 31824.3711
Epoch 29/30
2/2 [==============================] - 0s 53ms/step - loss: 91000.4766 - val_loss: 31807.7031
Epoch 30/30
2/2 [==============================] - 0s 56ms/step - loss: 90982.1797 - val_loss: 31806.6602
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 108ms/step - loss: 90937.8438 - val_loss: 31768.9473
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 90906.6953 - val_loss: 31740.6719
Epoch 3/30
2/2 [==============================] - 0s 54ms/step - loss: 90821.7422 - val_loss: 31719.5312
Epoch 4/30
2/2 [==============================] - 0s 54ms/step - loss: 90783.3359 - val_loss: 31700.3457
Epoch 5/30
2/2 [==============================] - 0s 51ms/step - loss: 90736.1406 - val_loss: 31686.3926
Epoch 6/30
2/2 [==============================] - 0s 57ms/step - loss: 90701.2344 - val_loss: 31672.5840
Epoch 7/30
2/2 [==============================] - 0s 55ms/step - loss: 90676.8281 - val_loss: 31642.7949
Epoch 8/30
2/2 [==============================] - 0s 49ms/step - loss: 90626.9375 - val_loss: 31637.7969
Epoch 9/30
2/2 [==============================] - 0s 51ms/step - loss: 90576.7344 - val_loss: 31624.3496
Epoch 10/30
2/2 [==============================] - 0s 46ms/step - loss: 90534.8828 - val_loss: 31614.6270
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 90493.4609 - val_loss: 31597.4355
Epoch 12/30
2/2 [==============================] - 0s 56ms/step - loss: 90455.0000 - val_loss: 31591.4551
Epoch 13/30
2/2 [==============================] - 0s 66ms/step - loss: 90431.8281 - val_loss: 31597.8125
Epoch 14/30
2/2 [==============================] - 0s 66ms/step - loss: 90381.9844 - val_loss: 31577.8555
Epoch 15/30
2/2 [==============================] - 0s 80ms/step - loss: 90372.9531 - val_loss: 31555.3008
Epoch 16/30
2/2 [==============================] - 0s 61ms/step - loss: 90310.8750 - val_loss: 31560.2852
Epoch 17/30
2/2 [==============================] - 0s 61ms/step - loss: 90265.3281 - val_loss: 31561.9277
Epoch 18/30
2/2 [==============================] - 0s 62ms/step - loss: 90210.2891 - val_loss: 31553.3613
Epoch 19/30
2/2 [==============================] - 0s 57ms/step - loss: 90162.2422 - val_loss: 31525.5215
Epoch 20/30
2/2 [==============================] - 0s 55ms/step - loss: 90118.5312 - val_loss: 31504.3398
Epoch 21/30
2/2 [==============================] - 0s 53ms/step - loss: 90078.7656 - val_loss: 31481.5254
Epoch 22/30
2/2 [==============================] - 0s 53ms/step - loss: 90032.8047 - val_loss: 31471.7305
Epoch 23/30
2/2 [==============================] - 0s 54ms/step - loss: 90006.9375 - val_loss: 31470.1289
Epoch 24/30
2/2 [==============================] - 0s 57ms/step - loss: 89975.3672 - val_loss: 31455.1113
Epoch 25/30
2/2 [==============================] - 0s 64ms/step - loss: 89928.7188 - val_loss: 31445.8535
Epoch 26/30
2/2 [==============================] - 0s 67ms/step - loss: 89874.0469 - val_loss: 31428.4727
Epoch 27/30
2/2 [==============================] - 0s 55ms/step - loss: 89859.6250 - val_loss: 31416.6777
Epoch 28/30
2/2 [==============================] - 0s 61ms/step - loss: 89806.2031 - val_loss: 31409.2500
Epoch 29/30
2/2 [==============================] - 0s 54ms/step - loss: 89815.6016 - val_loss: 31371.2676
Epoch 30/30
2/2 [==============================] - 0s 53ms/step - loss: 89748.0547 - val_loss: 31336.7930
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 97ms/step - loss: 89661.8594 - val_loss: 31319.8633
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 89680.2656 - val_loss: 31336.2676
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 89607.2656 - val_loss: 31339.2969
Epoch 4/30
2/2 [==============================] - 0s 45ms/step - loss: 89539.3984 - val_loss: 31326.5332
Epoch 5/30
2/2 [==============================] - 0s 49ms/step - loss: 89507.7656 - val_loss: 31314.5488
Epoch 6/30
2/2 [==============================] - 0s 52ms/step - loss: 89496.2891 - val_loss: 31289.0527
Epoch 7/30
2/2 [==============================] - 0s 58ms/step - loss: 89459.8359 - val_loss: 31270.5449
Epoch 8/30
2/2 [==============================] - 0s 51ms/step - loss: 89396.2188 - val_loss: 31246.6445
Epoch 9/30
2/2 [==============================] - 0s 54ms/step - loss: 89336.5703 - val_loss: 31249.2832
Epoch 10/30
2/2 [==============================] - 0s 52ms/step - loss: 89315.1641 - val_loss: 31227.8477
Epoch 11/30
2/2 [==============================] - 0s 55ms/step - loss: 89260.7734 - val_loss: 31227.5039
Epoch 12/30
2/2 [==============================] - 0s 55ms/step - loss: 89281.7109 - val_loss: 31232.5801
Epoch 13/30
2/2 [==============================] - 0s 64ms/step - loss: 89171.5234 - val_loss: 31226.2168
Epoch 14/30
2/2 [==============================] - 0s 58ms/step - loss: 89171.5234 - val_loss: 31231.5449
Epoch 15/30
2/2 [==============================] - 0s 57ms/step - loss: 89130.8125 - val_loss: 31200.3652
Epoch 16/30
2/2 [==============================] - 0s 57ms/step - loss: 89079.3672 - val_loss: 31195.6602
Epoch 17/30
2/2 [==============================] - 0s 53ms/step - loss: 89016.0547 - val_loss: 31191.8867
Epoch 18/30
2/2 [==============================] - 0s 51ms/step - loss: 88969.4297 - val_loss: 31186.7949
Epoch 19/30
2/2 [==============================] - 0s 54ms/step - loss: 88996.7969 - val_loss: 31147.4551
Epoch 20/30
2/2 [==============================] - 0s 55ms/step - loss: 88885.9844 - val_loss: 31137.2871
Epoch 21/30
2/2 [==============================] - 0s 59ms/step - loss: 88914.3984 - val_loss: 31104.3789
Epoch 22/30
2/2 [==============================] - 0s 53ms/step - loss: 88839.7969 - val_loss: 31115.9414
Epoch 23/30
2/2 [==============================] - 0s 71ms/step - loss: 88778.3516 - val_loss: 31122.4414
Epoch 24/30
2/2 [==============================] - 0s 61ms/step - loss: 88744.8750 - val_loss: 31100.5645
Epoch 25/30
2/2 [==============================] - 0s 53ms/step - loss: 88707.0312 - val_loss: 31107.3086
Epoch 26/30
2/2 [==============================] - 0s 56ms/step - loss: 88736.3828 - val_loss: 31110.4688
Epoch 27/30
2/2 [==============================] - 0s 71ms/step - loss: 88602.9688 - val_loss: 31098.8574
Epoch 28/30
2/2 [==============================] - 0s 62ms/step - loss: 88656.7266 - val_loss: 31066.8574
Epoch 29/30
2/2 [==============================] - 0s 64ms/step - loss: 88598.2734 - val_loss: 31040.4395
Epoch 30/30
2/2 [==============================] - 0s 53ms/step - loss: 88493.7578 - val_loss: 31028.9648
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 97ms/step - loss: 88506.1562 - val_loss: 31041.3281
Epoch 2/30
2/2 [==============================] - 0s 44ms/step - loss: 88414.7422 - val_loss: 31030.3789
Epoch 3/30
2/2 [==============================] - 0s 46ms/step - loss: 88385.0312 - val_loss: 31026.6660
Epoch 4/30
2/2 [==============================] - 0s 50ms/step - loss: 88343.0156 - val_loss: 31016.2324
Epoch 5/30
2/2 [==============================] - 0s 47ms/step - loss: 88310.8047 - val_loss: 31003.3809
Epoch 6/30
2/2 [==============================] - 0s 49ms/step - loss: 88271.9453 - val_loss: 30970.6406
Epoch 7/30
2/2 [==============================] - 0s 52ms/step - loss: 88224.4141 - val_loss: 30956.5586
Epoch 8/30
2/2 [==============================] - 0s 49ms/step - loss: 88218.0312 - val_loss: 30934.9043
Epoch 9/30
2/2 [==============================] - 0s 45ms/step - loss: 88138.1875 - val_loss: 30921.6758
Epoch 10/30
2/2 [==============================] - 0s 47ms/step - loss: 88109.7812 - val_loss: 30922.0879
Epoch 11/30
2/2 [==============================] - 0s 54ms/step - loss: 88061.7266 - val_loss: 30903.6191
Epoch 12/30
2/2 [==============================] - 0s 55ms/step - loss: 88027.8516 - val_loss: 30882.9277
Epoch 13/30
2/2 [==============================] - 0s 58ms/step - loss: 87975.0469 - val_loss: 30882.8809
Epoch 14/30
2/2 [==============================] - 0s 68ms/step - loss: 87933.3672 - val_loss: 30873.6348
Epoch 15/30
2/2 [==============================] - 0s 76ms/step - loss: 87911.0938 - val_loss: 30881.7754
Epoch 16/30
2/2 [==============================] - 0s 73ms/step - loss: 87876.0469 - val_loss: 30888.4062
Epoch 17/30
2/2 [==============================] - 0s 62ms/step - loss: 87812.7969 - val_loss: 30872.6387
Epoch 18/30
2/2 [==============================] - 0s 91ms/step - loss: 87787.9219 - val_loss: 30854.9961
Epoch 19/30
2/2 [==============================] - 0s 62ms/step - loss: 87767.2891 - val_loss: 30835.9844
Epoch 20/30
2/2 [==============================] - 0s 59ms/step - loss: 87707.0547 - val_loss: 30833.2539
Epoch 21/30
2/2 [==============================] - 0s 72ms/step - loss: 87652.3125 - val_loss: 30824.2988
Epoch 22/30
2/2 [==============================] - 0s 73ms/step - loss: 87662.0234 - val_loss: 30827.9551
Epoch 23/30
2/2 [==============================] - 0s 70ms/step - loss: 87597.2031 - val_loss: 30822.4902
Epoch 24/30
2/2 [==============================] - 0s 70ms/step - loss: 87574.3203 - val_loss: 30797.4727
Epoch 25/30
2/2 [==============================] - 0s 65ms/step - loss: 87502.6172 - val_loss: 30793.1133
Epoch 26/30
2/2 [==============================] - 0s 68ms/step - loss: 87539.2031 - val_loss: 30770.6250
Epoch 27/30
2/2 [==============================] - 0s 73ms/step - loss: 87454.8359 - val_loss: 30770.8613
Epoch 28/30
2/2 [==============================] - 0s 69ms/step - loss: 87382.5078 - val_loss: 30759.5508
Epoch 29/30
2/2 [==============================] - 0s 77ms/step - loss: 87386.0938 - val_loss: 30764.5664
Epoch 30/30
2/2 [==============================] - 0s 70ms/step - loss: 87312.8984 - val_loss: 30739.3457
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 119ms/step - loss: 87262.0156 - val_loss: 30727.2559
Epoch 2/30
2/2 [==============================] - 0s 54ms/step - loss: 87274.4453 - val_loss: 30697.6855
Epoch 3/30
2/2 [==============================] - 0s 59ms/step - loss: 87215.1406 - val_loss: 30674.1719
Epoch 4/30
2/2 [==============================] - 0s 65ms/step - loss: 87182.7578 - val_loss: 30683.9668
Epoch 5/30
2/2 [==============================] - 0s 61ms/step - loss: 87123.2734 - val_loss: 30678.6250
Epoch 6/30
2/2 [==============================] - 0s 60ms/step - loss: 87081.1484 - val_loss: 30662.4121
Epoch 7/30
2/2 [==============================] - 0s 58ms/step - loss: 87074.5078 - val_loss: 30674.5312
Epoch 8/30
2/2 [==============================] - 0s 53ms/step - loss: 87004.9844 - val_loss: 30672.2344
Epoch 9/30
2/2 [==============================] - 0s 49ms/step - loss: 87015.7422 - val_loss: 30670.9062
Epoch 10/30
2/2 [==============================] - 0s 50ms/step - loss: 86922.2188 - val_loss: 30663.5918
Epoch 11/30
2/2 [==============================] - 0s 60ms/step - loss: 86880.8203 - val_loss: 30646.7969
Epoch 12/30
2/2 [==============================] - 0s 52ms/step - loss: 86856.3984 - val_loss: 30627.9102
Epoch 13/30
2/2 [==============================] - 0s 50ms/step - loss: 86825.4453 - val_loss: 30607.0488
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 86779.6484 - val_loss: 30595.9473
Epoch 15/30
2/2 [==============================] - 0s 63ms/step - loss: 86730.9922 - val_loss: 30596.5430
Epoch 16/30
2/2 [==============================] - 0s 63ms/step - loss: 86749.9844 - val_loss: 30605.1230
Epoch 17/30
2/2 [==============================] - 0s 57ms/step - loss: 86665.7031 - val_loss: 30578.2715
Epoch 18/30
2/2 [==============================] - 0s 60ms/step - loss: 86639.4453 - val_loss: 30556.5254
Epoch 19/30
2/2 [==============================] - 0s 55ms/step - loss: 86597.7812 - val_loss: 30537.1543
Epoch 20/30
2/2 [==============================] - 0s 50ms/step - loss: 86556.0000 - val_loss: 30536.2715
Epoch 21/30
2/2 [==============================] - 0s 55ms/step - loss: 86496.8438 - val_loss: 30534.4258
Epoch 22/30
2/2 [==============================] - 0s 47ms/step - loss: 86513.6562 - val_loss: 30508.6211
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 86446.3516 - val_loss: 30499.0352
Epoch 24/30
2/2 [==============================] - 0s 45ms/step - loss: 86393.8672 - val_loss: 30500.3066
Epoch 25/30
2/2 [==============================] - 0s 45ms/step - loss: 86346.7969 - val_loss: 30507.2227
Epoch 26/30
2/2 [==============================] - 0s 45ms/step - loss: 86313.1406 - val_loss: 30513.5723
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 86272.5938 - val_loss: 30508.5195
Epoch 28/30
2/2 [==============================] - 0s 51ms/step - loss: 86274.0625 - val_loss: 30507.8262
Epoch 29/30
2/2 [==============================] - 0s 56ms/step - loss: 86208.3984 - val_loss: 30495.9434
Epoch 30/30
2/2 [==============================] - 0s 68ms/step - loss: 86176.6641 - val_loss: 30502.2402
3/3 [==============================] - 0s 5ms/step
Epoch 1/30
2/2 [==============================] - 0s 125ms/step - loss: 86125.8750 - val_loss: 30498.1387
Epoch 2/30
2/2 [==============================] - 0s 53ms/step - loss: 86129.4844 - val_loss: 30499.2695
Epoch 3/30
2/2 [==============================] - 0s 56ms/step - loss: 86076.6016 - val_loss: 30499.7051
Epoch 4/30
2/2 [==============================] - 0s 55ms/step - loss: 86042.5234 - val_loss: 30490.9863
Epoch 5/30
2/2 [==============================] - 0s 53ms/step - loss: 85969.6484 - val_loss: 30468.3867
Epoch 6/30
2/2 [==============================] - 0s 57ms/step - loss: 85966.9062 - val_loss: 30447.3926
Epoch 7/30
2/2 [==============================] - 0s 50ms/step - loss: 85905.3906 - val_loss: 30427.4121
Epoch 8/30
2/2 [==============================] - 0s 53ms/step - loss: 85861.7344 - val_loss: 30417.2012
Epoch 9/30
2/2 [==============================] - 0s 52ms/step - loss: 85837.0703 - val_loss: 30413.9512
Epoch 10/30
2/2 [==============================] - 0s 54ms/step - loss: 85833.2891 - val_loss: 30403.6855
Epoch 11/30
2/2 [==============================] - 0s 55ms/step - loss: 85761.1016 - val_loss: 30386.1309
Epoch 12/30
2/2 [==============================] - 0s 53ms/step - loss: 85730.1094 - val_loss: 30376.2383
Epoch 13/30
2/2 [==============================] - 0s 55ms/step - loss: 85698.6953 - val_loss: 30378.3555
Epoch 14/30
2/2 [==============================] - 0s 59ms/step - loss: 85632.5703 - val_loss: 30362.5605
Epoch 15/30
2/2 [==============================] - 0s 61ms/step - loss: 85623.8750 - val_loss: 30343.2246
Epoch 16/30
2/2 [==============================] - 0s 59ms/step - loss: 85594.6953 - val_loss: 30339.7637
Epoch 17/30
2/2 [==============================] - 0s 57ms/step - loss: 85535.2891 - val_loss: 30334.2324
Epoch 18/30
2/2 [==============================] - 0s 68ms/step - loss: 85541.3125 - val_loss: 30306.5801
Epoch 19/30
2/2 [==============================] - 0s 66ms/step - loss: 85454.6797 - val_loss: 30295.7988
Epoch 20/30
2/2 [==============================] - 0s 57ms/step - loss: 85430.7812 - val_loss: 30290.3867
Epoch 21/30
2/2 [==============================] - 0s 62ms/step - loss: 85404.6719 - val_loss: 30275.7676
Epoch 22/30
2/2 [==============================] - 0s 58ms/step - loss: 85350.1406 - val_loss: 30282.8242
Epoch 23/30
2/2 [==============================] - 0s 59ms/step - loss: 85339.6328 - val_loss: 30280.1191
Epoch 24/30
2/2 [==============================] - 0s 64ms/step - loss: 85261.1641 - val_loss: 30276.0977
Epoch 25/30
2/2 [==============================] - 0s 65ms/step - loss: 85234.9297 - val_loss: 30280.7383
Epoch 26/30
2/2 [==============================] - 0s 60ms/step - loss: 85217.6797 - val_loss: 30275.5508
Epoch 27/30
2/2 [==============================] - 0s 61ms/step - loss: 85148.3359 - val_loss: 30274.0020
Epoch 28/30
2/2 [==============================] - 0s 58ms/step - loss: 85130.1562 - val_loss: 30272.0098
Epoch 29/30
2/2 [==============================] - 0s 55ms/step - loss: 85088.4297 - val_loss: 30272.3320
Epoch 30/30
2/2 [==============================] - 0s 61ms/step - loss: 85055.4453 - val_loss: 30266.7324
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 133ms/step - loss: 85002.0312 - val_loss: 30257.3789
Epoch 2/30
2/2 [==============================] - 0s 52ms/step - loss: 84980.2578 - val_loss: 30250.2793
Epoch 3/30
2/2 [==============================] - 0s 53ms/step - loss: 84930.0938 - val_loss: 30240.2656
Epoch 4/30
2/2 [==============================] - 0s 55ms/step - loss: 84914.1562 - val_loss: 30228.8301
Epoch 5/30
2/2 [==============================] - 0s 49ms/step - loss: 84880.6328 - val_loss: 30214.6387
Epoch 6/30
2/2 [==============================] - 0s 52ms/step - loss: 84867.0781 - val_loss: 30197.7871
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 84873.5312 - val_loss: 30213.4355
Epoch 8/30
2/2 [==============================] - 0s 52ms/step - loss: 84762.1172 - val_loss: 30213.8926
Epoch 9/30
2/2 [==============================] - 0s 52ms/step - loss: 84753.8594 - val_loss: 30213.4707
Epoch 10/30
2/2 [==============================] - 0s 57ms/step - loss: 84711.9453 - val_loss: 30222.6992
Epoch 11/30
2/2 [==============================] - 0s 56ms/step - loss: 84679.6094 - val_loss: 30209.6543
Epoch 12/30
2/2 [==============================] - 0s 54ms/step - loss: 84631.1875 - val_loss: 30198.3418
Epoch 13/30
2/2 [==============================] - 0s 56ms/step - loss: 84600.1250 - val_loss: 30206.1602
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 84555.5078 - val_loss: 30186.2305
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 84527.0000 - val_loss: 30181.9746
Epoch 16/30
2/2 [==============================] - 0s 60ms/step - loss: 84505.3906 - val_loss: 30164.0039
Epoch 17/30
2/2 [==============================] - 0s 59ms/step - loss: 84433.8125 - val_loss: 30163.1055
Epoch 18/30
2/2 [==============================] - 0s 58ms/step - loss: 84443.6172 - val_loss: 30173.6191
Epoch 19/30
2/2 [==============================] - 0s 62ms/step - loss: 84386.9844 - val_loss: 30172.7090
Epoch 20/30
2/2 [==============================] - 0s 58ms/step - loss: 84320.0000 - val_loss: 30163.8223
Epoch 21/30
2/2 [==============================] - 0s 58ms/step - loss: 84300.4609 - val_loss: 30154.5625
Epoch 22/30
2/2 [==============================] - 0s 61ms/step - loss: 84252.1094 - val_loss: 30148.4121
Epoch 23/30
2/2 [==============================] - 0s 54ms/step - loss: 84219.6953 - val_loss: 30140.5195
Epoch 24/30
2/2 [==============================] - 0s 56ms/step - loss: 84180.2578 - val_loss: 30130.6699
Epoch 25/30
2/2 [==============================] - 0s 63ms/step - loss: 84163.7578 - val_loss: 30128.2598
Epoch 26/30
2/2 [==============================] - 0s 61ms/step - loss: 84124.8828 - val_loss: 30119.7695
Epoch 27/30
2/2 [==============================] - 0s 54ms/step - loss: 84076.4297 - val_loss: 30110.7754
Epoch 28/30
2/2 [==============================] - 0s 60ms/step - loss: 84063.5625 - val_loss: 30090.7559
Epoch 29/30
2/2 [==============================] - 0s 61ms/step - loss: 84030.9531 - val_loss: 30071.6270
Epoch 30/30
2/2 [==============================] - 0s 60ms/step - loss: 84052.9219 - val_loss: 30045.6543
3/3 [==============================] - 0s 5ms/step
Epoch 1/30
2/2 [==============================] - 0s 134ms/step - loss: 83965.9062 - val_loss: 30042.3906
Epoch 2/30
2/2 [==============================] - 0s 53ms/step - loss: 83992.6797 - val_loss: 30063.7285
Epoch 3/30
2/2 [==============================] - 0s 52ms/step - loss: 83871.1953 - val_loss: 30066.1719
Epoch 4/30
2/2 [==============================] - 0s 51ms/step - loss: 83829.6094 - val_loss: 30059.8086
Epoch 5/30
2/2 [==============================] - 0s 57ms/step - loss: 83812.7109 - val_loss: 30050.0898
Epoch 6/30
2/2 [==============================] - 0s 61ms/step - loss: 83787.5391 - val_loss: 30062.4355
Epoch 7/30
2/2 [==============================] - 0s 59ms/step - loss: 83760.5000 - val_loss: 30046.7617
Epoch 8/30
2/2 [==============================] - 0s 59ms/step - loss: 83694.9766 - val_loss: 30051.7832
Epoch 9/30
2/2 [==============================] - 0s 57ms/step - loss: 83669.0703 - val_loss: 30041.2227
Epoch 10/30
2/2 [==============================] - 0s 69ms/step - loss: 83651.8594 - val_loss: 30035.3906
Epoch 11/30
2/2 [==============================] - 0s 56ms/step - loss: 83638.8125 - val_loss: 30045.4941
Epoch 12/30
2/2 [==============================] - 0s 57ms/step - loss: 83569.4062 - val_loss: 30032.8887
Epoch 13/30
2/2 [==============================] - 0s 56ms/step - loss: 83538.4766 - val_loss: 30019.5098
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 83473.8828 - val_loss: 30018.3965
Epoch 15/30
2/2 [==============================] - 0s 56ms/step - loss: 83446.1797 - val_loss: 30015.7207
Epoch 16/30
2/2 [==============================] - 0s 54ms/step - loss: 83448.8203 - val_loss: 30024.8418
Epoch 17/30
2/2 [==============================] - 0s 55ms/step - loss: 83416.4922 - val_loss: 30007.0957
Epoch 18/30
2/2 [==============================] - 0s 52ms/step - loss: 83364.7109 - val_loss: 30019.3750
Epoch 19/30
2/2 [==============================] - 0s 64ms/step - loss: 83317.4766 - val_loss: 30013.8730
Epoch 20/30
2/2 [==============================] - 0s 64ms/step - loss: 83297.6406 - val_loss: 30019.4062
Epoch 21/30
2/2 [==============================] - 0s 58ms/step - loss: 83296.2031 - val_loss: 29998.0527
Epoch 22/30
2/2 [==============================] - 0s 59ms/step - loss: 83234.7578 - val_loss: 30008.1738
Epoch 23/30
2/2 [==============================] - 0s 60ms/step - loss: 83214.3984 - val_loss: 30015.8262
Epoch 24/30
2/2 [==============================] - 0s 61ms/step - loss: 83144.3047 - val_loss: 30005.0098
Epoch 25/30
2/2 [==============================] - 0s 57ms/step - loss: 83117.1094 - val_loss: 29988.9258
Epoch 26/30
2/2 [==============================] - 0s 60ms/step - loss: 83119.1562 - val_loss: 29999.6602
Epoch 27/30
2/2 [==============================] - 0s 60ms/step - loss: 83076.5078 - val_loss: 29977.2812
Epoch 28/30
2/2 [==============================] - 0s 64ms/step - loss: 83009.9219 - val_loss: 29967.0586
Epoch 29/30
2/2 [==============================] - 0s 62ms/step - loss: 83015.3516 - val_loss: 29975.7012
Epoch 30/30
2/2 [==============================] - 0s 63ms/step - loss: 82955.1328 - val_loss: 29976.2500
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 122ms/step - loss: 82950.1094 - val_loss: 29985.7051
Epoch 2/30
2/2 [==============================] - 0s 50ms/step - loss: 82879.0156 - val_loss: 29985.7383
Epoch 3/30
2/2 [==============================] - 0s 56ms/step - loss: 82836.5703 - val_loss: 29977.1738
Epoch 4/30
2/2 [==============================] - 0s 52ms/step - loss: 82821.2031 - val_loss: 29961.2910
Epoch 5/30
2/2 [==============================] - 0s 60ms/step - loss: 82774.1094 - val_loss: 29942.4551
Epoch 6/30
2/2 [==============================] - 0s 65ms/step - loss: 82734.2344 - val_loss: 29930.0684
Epoch 7/30
2/2 [==============================] - 0s 59ms/step - loss: 82718.0625 - val_loss: 29930.2910
Epoch 8/30
2/2 [==============================] - 0s 56ms/step - loss: 82670.5547 - val_loss: 29921.8340
Epoch 9/30
2/2 [==============================] - 0s 65ms/step - loss: 82637.8203 - val_loss: 29914.7598
Epoch 10/30
2/2 [==============================] - 0s 69ms/step - loss: 82610.6641 - val_loss: 29917.8965
Epoch 11/30
2/2 [==============================] - 0s 58ms/step - loss: 82565.2656 - val_loss: 29917.5176
Epoch 12/30
2/2 [==============================] - 0s 66ms/step - loss: 82570.9609 - val_loss: 29927.3555
Epoch 13/30
2/2 [==============================] - 0s 64ms/step - loss: 82511.2344 - val_loss: 29914.4727
Epoch 14/30
2/2 [==============================] - 0s 56ms/step - loss: 82472.3203 - val_loss: 29918.7305
Epoch 15/30
2/2 [==============================] - 0s 75ms/step - loss: 82443.7656 - val_loss: 29914.1973
Epoch 16/30
2/2 [==============================] - 0s 65ms/step - loss: 82397.6328 - val_loss: 29908.3887
Epoch 17/30
2/2 [==============================] - 0s 60ms/step - loss: 82363.0156 - val_loss: 29910.9043
Epoch 18/30
2/2 [==============================] - 0s 81ms/step - loss: 82366.3438 - val_loss: 29894.9043
Epoch 19/30
2/2 [==============================] - 0s 61ms/step - loss: 82320.9531 - val_loss: 29907.9570
Epoch 20/30
2/2 [==============================] - 0s 82ms/step - loss: 82277.5391 - val_loss: 29898.7461
Epoch 21/30
2/2 [==============================] - 0s 69ms/step - loss: 82232.8750 - val_loss: 29902.7910
Epoch 22/30
2/2 [==============================] - 0s 127ms/step - loss: 82254.4062 - val_loss: 29894.1289
Epoch 23/30
2/2 [==============================] - 0s 62ms/step - loss: 82213.2656 - val_loss: 29905.7520
Epoch 24/30
2/2 [==============================] - 0s 75ms/step - loss: 82172.0625 - val_loss: 29907.2676
Epoch 25/30
2/2 [==============================] - 0s 58ms/step - loss: 82184.6016 - val_loss: 29904.6113
Epoch 26/30
2/2 [==============================] - 0s 60ms/step - loss: 82132.9062 - val_loss: 29894.4844
Epoch 27/30
2/2 [==============================] - 0s 63ms/step - loss: 82082.4609 - val_loss: 29877.8320
Epoch 28/30
2/2 [==============================] - 0s 58ms/step - loss: 82013.1719 - val_loss: 29872.7012
Epoch 29/30
2/2 [==============================] - 0s 73ms/step - loss: 82009.6875 - val_loss: 29863.0742
Epoch 30/30
2/2 [==============================] - 0s 71ms/step - loss: 81967.8359 - val_loss: 29882.1660
3/3 [==============================] - 0s 4ms/step
Epoch 1/30
2/2 [==============================] - 0s 132ms/step - loss: 81988.0000 - val_loss: 29893.8750
Epoch 2/30
2/2 [==============================] - 0s 58ms/step - loss: 81869.6172 - val_loss: 29896.7168
Epoch 3/30
2/2 [==============================] - 0s 57ms/step - loss: 81863.4297 - val_loss: 29891.2070
Epoch 4/30
2/2 [==============================] - 0s 53ms/step - loss: 81852.9062 - val_loss: 29884.1602
Epoch 5/30
2/2 [==============================] - 0s 57ms/step - loss: 81793.6406 - val_loss: 29881.8125
Epoch 6/30
2/2 [==============================] - 0s 56ms/step - loss: 81739.7422 - val_loss: 29880.1543
Epoch 7/30
2/2 [==============================] - 0s 58ms/step - loss: 81741.8359 - val_loss: 29887.5215
Epoch 8/30
2/2 [==============================] - 0s 64ms/step - loss: 81678.8906 - val_loss: 29879.1270
Epoch 9/30
2/2 [==============================] - 0s 58ms/step - loss: 81676.6172 - val_loss: 29873.6914
Epoch 10/30
2/2 [==============================] - 0s 69ms/step - loss: 81630.0469 - val_loss: 29882.9902
Epoch 11/30
2/2 [==============================] - 0s 64ms/step - loss: 81591.0156 - val_loss: 29874.6523
Epoch 12/30
2/2 [==============================] - 0s 68ms/step - loss: 81572.0156 - val_loss: 29880.7480
Epoch 13/30
2/2 [==============================] - 0s 64ms/step - loss: 81543.0000 - val_loss: 29888.4082
Epoch 14/30
2/2 [==============================] - 0s 54ms/step - loss: 81504.8281 - val_loss: 29869.9941
Epoch 15/30
2/2 [==============================] - 0s 61ms/step - loss: 81513.2734 - val_loss: 29851.3750
Epoch 16/30
2/2 [==============================] - 0s 64ms/step - loss: 81468.9844 - val_loss: 29836.0605
Epoch 17/30
2/2 [==============================] - 0s 56ms/step - loss: 81404.1875 - val_loss: 29831.2852
Epoch 18/30
2/2 [==============================] - 0s 101ms/step - loss: 81354.1641 - val_loss: 29836.9219
Epoch 19/30
2/2 [==============================] - 0s 66ms/step - loss: 81329.9531 - val_loss: 29836.6699
Epoch 20/30
2/2 [==============================] - 0s 63ms/step - loss: 81321.9062 - val_loss: 29839.8379
Epoch 21/30
2/2 [==============================] - 0s 111ms/step - loss: 81328.0078 - val_loss: 29866.1934
Epoch 22/30
2/2 [==============================] - 0s 80ms/step - loss: 81233.6797 - val_loss: 29875.4199
Epoch 23/30
2/2 [==============================] - 0s 59ms/step - loss: 81241.5703 - val_loss: 29886.8750
Epoch 24/30
2/2 [==============================] - 0s 70ms/step - loss: 81204.6250 - val_loss: 29875.2051
Epoch 25/30
2/2 [==============================] - 0s 65ms/step - loss: 81182.2578 - val_loss: 29855.9629
Epoch 26/30
2/2 [==============================] - 0s 57ms/step - loss: 81106.7266 - val_loss: 29849.5117
Epoch 27/30
2/2 [==============================] - 0s 57ms/step - loss: 81075.6484 - val_loss: 29853.0039
Epoch 28/30
2/2 [==============================] - 0s 55ms/step - loss: 81039.8750 - val_loss: 29849.1387
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 81003.4141 - val_loss: 29851.6758
Epoch 30/30
2/2 [==============================] - 0s 50ms/step - loss: 80975.6641 - val_loss: 29852.7910
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 87ms/step - loss: 80958.7422 - val_loss: 29849.2480
Epoch 2/30
2/2 [==============================] - 0s 49ms/step - loss: 80919.5547 - val_loss: 29853.8789
Epoch 3/30
2/2 [==============================] - 0s 45ms/step - loss: 80903.5703 - val_loss: 29866.8281
Epoch 4/30
2/2 [==============================] - 0s 81ms/step - loss: 80857.6562 - val_loss: 29865.7383
Epoch 5/30
2/2 [==============================] - 0s 85ms/step - loss: 80855.2031 - val_loss: 29846.5176
Epoch 6/30
2/2 [==============================] - 0s 70ms/step - loss: 80813.1250 - val_loss: 29859.9258
Epoch 7/30
2/2 [==============================] - 0s 58ms/step - loss: 80790.5859 - val_loss: 29868.0566
Epoch 8/30
2/2 [==============================] - 0s 66ms/step - loss: 80728.5391 - val_loss: 29861.8242
Epoch 9/30
2/2 [==============================] - 0s 76ms/step - loss: 80722.1641 - val_loss: 29845.0430
Epoch 10/30
2/2 [==============================] - 0s 70ms/step - loss: 80666.6641 - val_loss: 29835.6504
Epoch 11/30
2/2 [==============================] - 0s 61ms/step - loss: 80637.8359 - val_loss: 29834.3027
Epoch 12/30
2/2 [==============================] - 0s 63ms/step - loss: 80616.1406 - val_loss: 29827.7090
Epoch 13/30
2/2 [==============================] - 0s 64ms/step - loss: 80625.3672 - val_loss: 29849.7012
Epoch 14/30
2/2 [==============================] - 0s 60ms/step - loss: 80547.0234 - val_loss: 29843.7129
Epoch 15/30
2/2 [==============================] - 0s 56ms/step - loss: 80546.6328 - val_loss: 29858.7207
Epoch 16/30
2/2 [==============================] - 0s 51ms/step - loss: 80512.4531 - val_loss: 29850.0469
Epoch 17/30
2/2 [==============================] - 0s 52ms/step - loss: 80446.8516 - val_loss: 29851.6035
Epoch 18/30
2/2 [==============================] - 0s 61ms/step - loss: 80447.2969 - val_loss: 29851.8457
Epoch 19/30
2/2 [==============================] - 0s 79ms/step - loss: 80391.9922 - val_loss: 29849.5898
Epoch 20/30
2/2 [==============================] - 0s 53ms/step - loss: 80421.0781 - val_loss: 29859.9355
Epoch 21/30
2/2 [==============================] - 0s 56ms/step - loss: 80346.3125 - val_loss: 29842.2656
Epoch 22/30
2/2 [==============================] - 0s 52ms/step - loss: 80317.2578 - val_loss: 29839.6855
Epoch 23/30
2/2 [==============================] - 0s 49ms/step - loss: 80273.2578 - val_loss: 29831.8750
Epoch 24/30
2/2 [==============================] - 0s 76ms/step - loss: 80237.3594 - val_loss: 29834.2520
Epoch 25/30
2/2 [==============================] - 0s 63ms/step - loss: 80203.1250 - val_loss: 29830.5039
Epoch 26/30
2/2 [==============================] - 0s 87ms/step - loss: 80273.1016 - val_loss: 29804.0371
Epoch 27/30
2/2 [==============================] - 0s 148ms/step - loss: 80181.1406 - val_loss: 29826.4102
Epoch 28/30
2/2 [==============================] - 0s 80ms/step - loss: 80141.6641 - val_loss: 29815.1074
Epoch 29/30
2/2 [==============================] - 0s 58ms/step - loss: 80084.8672 - val_loss: 29823.7012
Epoch 30/30
2/2 [==============================] - 0s 63ms/step - loss: 80059.9219 - val_loss: 29836.5820
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 78ms/step - loss: 80028.0547 - val_loss: 29843.5820
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 79986.7812 - val_loss: 29847.7461
Epoch 3/30
2/2 [==============================] - 0s 41ms/step - loss: 79964.9062 - val_loss: 29848.0879
Epoch 4/30
2/2 [==============================] - 0s 41ms/step - loss: 79943.6172 - val_loss: 29861.9004
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 79972.2422 - val_loss: 29838.9785
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 79927.8750 - val_loss: 29861.5059
Epoch 7/30
2/2 [==============================] - 0s 40ms/step - loss: 79869.6250 - val_loss: 29852.0469
Epoch 8/30
2/2 [==============================] - 0s 42ms/step - loss: 79854.9766 - val_loss: 29836.4902
Epoch 9/30
2/2 [==============================] - 0s 41ms/step - loss: 79811.2266 - val_loss: 29828.0449
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 79782.9844 - val_loss: 29828.0410
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 79758.1250 - val_loss: 29829.1250
Epoch 12/30
2/2 [==============================] - 0s 50ms/step - loss: 79720.9922 - val_loss: 29849.8613
Epoch 13/30
2/2 [==============================] - 0s 55ms/step - loss: 79676.7422 - val_loss: 29848.7324
Epoch 14/30
2/2 [==============================] - 0s 51ms/step - loss: 79663.5391 - val_loss: 29869.5723
Epoch 15/30
2/2 [==============================] - 0s 54ms/step - loss: 79598.7969 - val_loss: 29878.0566
Epoch 16/30
2/2 [==============================] - 0s 49ms/step - loss: 79596.3516 - val_loss: 29872.5977
Epoch 17/30
2/2 [==============================] - 0s 45ms/step - loss: 79569.3047 - val_loss: 29867.7090
Epoch 18/30
2/2 [==============================] - 0s 42ms/step - loss: 79562.0156 - val_loss: 29896.2227
Epoch 19/30
2/2 [==============================] - 0s 46ms/step - loss: 79502.8750 - val_loss: 29911.0762
Epoch 20/30
2/2 [==============================] - 0s 54ms/step - loss: 79459.0312 - val_loss: 29905.8555
Epoch 21/30
2/2 [==============================] - 0s 53ms/step - loss: 79446.6094 - val_loss: 29896.3438
Epoch 22/30
2/2 [==============================] - 0s 46ms/step - loss: 79411.0625 - val_loss: 29888.4160
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 79382.7109 - val_loss: 29886.9473
Epoch 24/30
2/2 [==============================] - 0s 51ms/step - loss: 79352.0000 - val_loss: 29891.7695
Epoch 25/30
2/2 [==============================] - 0s 55ms/step - loss: 79308.8984 - val_loss: 29893.5430
Epoch 26/30
2/2 [==============================] - 0s 61ms/step - loss: 79291.3047 - val_loss: 29886.4160
Epoch 27/30
2/2 [==============================] - 0s 49ms/step - loss: 79267.5078 - val_loss: 29902.6270
Epoch 28/30
2/2 [==============================] - 0s 51ms/step - loss: 79240.4609 - val_loss: 29917.1289
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 79241.5391 - val_loss: 29897.5781
Epoch 30/30
2/2 [==============================] - 0s 66ms/step - loss: 79191.9766 - val_loss: 29911.8145
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 90ms/step - loss: 79132.1641 - val_loss: 29916.6406
Epoch 2/30
2/2 [==============================] - 0s 52ms/step - loss: 79117.5000 - val_loss: 29923.5195
Epoch 3/30
2/2 [==============================] - 0s 58ms/step - loss: 79091.6719 - val_loss: 29919.4492
Epoch 4/30
2/2 [==============================] - 0s 61ms/step - loss: 79074.5547 - val_loss: 29930.5996
Epoch 5/30
2/2 [==============================] - 0s 55ms/step - loss: 79014.3594 - val_loss: 29922.5977
Epoch 6/30
2/2 [==============================] - 0s 56ms/step - loss: 79054.2969 - val_loss: 29894.6582
Epoch 7/30
2/2 [==============================] - 0s 59ms/step - loss: 78969.4531 - val_loss: 29886.5215
Epoch 8/30
2/2 [==============================] - 0s 53ms/step - loss: 79016.9141 - val_loss: 29915.6719
Epoch 9/30
2/2 [==============================] - 0s 51ms/step - loss: 78935.4453 - val_loss: 29895.2910
Epoch 10/30
2/2 [==============================] - 0s 62ms/step - loss: 78883.6719 - val_loss: 29906.5820
Epoch 11/30
2/2 [==============================] - 0s 56ms/step - loss: 78853.2656 - val_loss: 29911.8848
Epoch 12/30
2/2 [==============================] - 0s 59ms/step - loss: 78834.8906 - val_loss: 29901.4844
Epoch 13/30
2/2 [==============================] - 0s 56ms/step - loss: 78805.3203 - val_loss: 29915.5723
Epoch 14/30
2/2 [==============================] - 0s 49ms/step - loss: 78845.2891 - val_loss: 29891.7617
Epoch 15/30
2/2 [==============================] - 0s 50ms/step - loss: 78741.2891 - val_loss: 29905.1387
Epoch 16/30
2/2 [==============================] - 0s 57ms/step - loss: 78710.9844 - val_loss: 29910.2441
Epoch 17/30
2/2 [==============================] - 0s 52ms/step - loss: 78722.0625 - val_loss: 29895.3535
Epoch 18/30
2/2 [==============================] - 0s 55ms/step - loss: 78660.9766 - val_loss: 29894.5996
Epoch 19/30
2/2 [==============================] - 0s 48ms/step - loss: 78631.2031 - val_loss: 29897.4082
Epoch 20/30
2/2 [==============================] - 0s 45ms/step - loss: 78597.0781 - val_loss: 29912.6523
Epoch 21/30
2/2 [==============================] - 0s 43ms/step - loss: 78567.3125 - val_loss: 29922.3730
Epoch 22/30
2/2 [==============================] - 0s 53ms/step - loss: 78536.5625 - val_loss: 29938.0898
Epoch 23/30
2/2 [==============================] - 0s 51ms/step - loss: 78504.3750 - val_loss: 29943.5566
Epoch 24/30
2/2 [==============================] - 0s 48ms/step - loss: 78497.9375 - val_loss: 29964.2070
Epoch 25/30
2/2 [==============================] - 0s 50ms/step - loss: 78473.0469 - val_loss: 29980.7480
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 78469.4922 - val_loss: 30007.7852
Epoch 27/30
2/2 [==============================] - 0s 46ms/step - loss: 78393.5234 - val_loss: 30006.0332
Epoch 28/30
2/2 [==============================] - 0s 57ms/step - loss: 78382.8203 - val_loss: 30012.0273
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 78337.1875 - val_loss: 30011.8535
Epoch 30/30
2/2 [==============================] - 0s 52ms/step - loss: 78411.1562 - val_loss: 30000.8242
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 83ms/step - loss: 78286.1875 - val_loss: 29999.5566
Epoch 2/30
2/2 [==============================] - 0s 40ms/step - loss: 78261.5156 - val_loss: 29987.0586
Epoch 3/30
2/2 [==============================] - 0s 40ms/step - loss: 78243.6641 - val_loss: 29997.8555
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 78221.5703 - val_loss: 29982.4395
Epoch 5/30
2/2 [==============================] - 0s 41ms/step - loss: 78214.0625 - val_loss: 29979.9375
Epoch 6/30
2/2 [==============================] - 0s 40ms/step - loss: 78145.3359 - val_loss: 29974.3086
Epoch 7/30
2/2 [==============================] - 0s 42ms/step - loss: 78117.5547 - val_loss: 29984.7305
Epoch 8/30
2/2 [==============================] - 0s 41ms/step - loss: 78108.2578 - val_loss: 29975.6035
Epoch 9/30
2/2 [==============================] - 0s 47ms/step - loss: 78101.1641 - val_loss: 29981.7285
Epoch 10/30
2/2 [==============================] - 0s 55ms/step - loss: 78039.2734 - val_loss: 29984.7637
Epoch 11/30
2/2 [==============================] - 0s 50ms/step - loss: 78036.0469 - val_loss: 29976.6367
Epoch 12/30
2/2 [==============================] - 0s 44ms/step - loss: 77997.8359 - val_loss: 30003.0039
Epoch 13/30
2/2 [==============================] - 0s 44ms/step - loss: 77985.9766 - val_loss: 30023.9434
Epoch 14/30
2/2 [==============================] - 0s 46ms/step - loss: 77979.1562 - val_loss: 30052.4980
Epoch 15/30
2/2 [==============================] - 0s 56ms/step - loss: 77894.1094 - val_loss: 30053.4238
Epoch 16/30
2/2 [==============================] - 0s 57ms/step - loss: 77950.3047 - val_loss: 30055.1250
Epoch 17/30
2/2 [==============================] - 0s 53ms/step - loss: 77844.8359 - val_loss: 30056.4785
Epoch 18/30
2/2 [==============================] - 0s 51ms/step - loss: 77862.7656 - val_loss: 30056.1719
Epoch 19/30
2/2 [==============================] - 0s 53ms/step - loss: 77790.3672 - val_loss: 30054.3789
Epoch 20/30
2/2 [==============================] - 0s 60ms/step - loss: 77765.9062 - val_loss: 30062.4863
Epoch 21/30
2/2 [==============================] - 0s 51ms/step - loss: 77742.5703 - val_loss: 30053.5566
Epoch 22/30
2/2 [==============================] - 0s 50ms/step - loss: 77722.7891 - val_loss: 30062.8594
Epoch 23/30
2/2 [==============================] - 0s 50ms/step - loss: 77715.6172 - val_loss: 30051.2305
Epoch 24/30
2/2 [==============================] - 0s 44ms/step - loss: 77668.6172 - val_loss: 30048.4688
Epoch 25/30
2/2 [==============================] - 0s 48ms/step - loss: 77679.5391 - val_loss: 30069.5371
Epoch 26/30
2/2 [==============================] - 0s 49ms/step - loss: 77604.1406 - val_loss: 30066.8164
Epoch 27/30
2/2 [==============================] - 0s 43ms/step - loss: 77578.8281 - val_loss: 30059.8145
Epoch 28/30
2/2 [==============================] - 0s 44ms/step - loss: 77546.0625 - val_loss: 30073.7695
Epoch 29/30
2/2 [==============================] - 0s 50ms/step - loss: 77526.1406 - val_loss: 30067.7168
Epoch 30/30
2/2 [==============================] - 0s 54ms/step - loss: 77495.4453 - val_loss: 30068.9512
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 84ms/step - loss: 77467.5234 - val_loss: 30081.8281
Epoch 2/30
2/2 [==============================] - 0s 39ms/step - loss: 77469.4297 - val_loss: 30079.9883
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 77442.3359 - val_loss: 30081.1270
Epoch 4/30
2/2 [==============================] - 0s 42ms/step - loss: 77399.9219 - val_loss: 30111.3164
Epoch 5/30
2/2 [==============================] - 0s 55ms/step - loss: 77380.5859 - val_loss: 30123.0137
Epoch 6/30
2/2 [==============================] - 0s 45ms/step - loss: 77347.0703 - val_loss: 30118.5664
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 77352.7344 - val_loss: 30128.2480
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 77296.8047 - val_loss: 30130.0156
Epoch 9/30
2/2 [==============================] - 0s 44ms/step - loss: 77319.6406 - val_loss: 30173.9043
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 77319.3047 - val_loss: 30203.3457
Epoch 11/30
2/2 [==============================] - 0s 48ms/step - loss: 77219.5312 - val_loss: 30218.9961
Epoch 12/30
2/2 [==============================] - 0s 65ms/step - loss: 77185.6016 - val_loss: 30225.9590
Epoch 13/30
2/2 [==============================] - 0s 53ms/step - loss: 77155.3828 - val_loss: 30203.9863
Epoch 14/30
2/2 [==============================] - 0s 50ms/step - loss: 77129.5781 - val_loss: 30208.3340
Epoch 15/30
2/2 [==============================] - 0s 53ms/step - loss: 77199.2734 - val_loss: 30182.2949
Epoch 16/30
2/2 [==============================] - 0s 45ms/step - loss: 77068.9531 - val_loss: 30185.0430
Epoch 17/30
2/2 [==============================] - 0s 49ms/step - loss: 77066.9922 - val_loss: 30168.8906
Epoch 18/30
2/2 [==============================] - 0s 60ms/step - loss: 77029.8203 - val_loss: 30184.4883
Epoch 19/30
2/2 [==============================] - 0s 52ms/step - loss: 77006.6484 - val_loss: 30183.9004
Epoch 20/30
2/2 [==============================] - 0s 56ms/step - loss: 76999.2812 - val_loss: 30186.2188
Epoch 21/30
2/2 [==============================] - 0s 55ms/step - loss: 76942.5391 - val_loss: 30183.5938
Epoch 22/30
2/2 [==============================] - 0s 46ms/step - loss: 76979.4922 - val_loss: 30180.0527
Epoch 23/30
2/2 [==============================] - 0s 46ms/step - loss: 76902.6250 - val_loss: 30196.1855
Epoch 24/30
2/2 [==============================] - 0s 57ms/step - loss: 76867.2109 - val_loss: 30196.6562
Epoch 25/30
2/2 [==============================] - 0s 47ms/step - loss: 76845.1719 - val_loss: 30190.1992
Epoch 26/30
2/2 [==============================] - 0s 52ms/step - loss: 76830.9688 - val_loss: 30187.4375
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 76787.9219 - val_loss: 30210.9414
Epoch 28/30
2/2 [==============================] - 0s 43ms/step - loss: 76758.9219 - val_loss: 30221.8223
Epoch 29/30
2/2 [==============================] - 0s 43ms/step - loss: 76793.7422 - val_loss: 30260.2441
Epoch 30/30
2/2 [==============================] - 0s 50ms/step - loss: 76735.9688 - val_loss: 30267.7598
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 104ms/step - loss: 76719.2266 - val_loss: 30276.0469
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 76713.2031 - val_loss: 30278.0586
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 76663.9375 - val_loss: 30261.7363
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 76635.6484 - val_loss: 30289.0020
Epoch 5/30
2/2 [==============================] - 0s 43ms/step - loss: 76600.3438 - val_loss: 30302.9121
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 76606.7812 - val_loss: 30313.0762
Epoch 7/30
2/2 [==============================] - 0s 41ms/step - loss: 76602.4922 - val_loss: 30282.4570
Epoch 8/30
2/2 [==============================] - 0s 42ms/step - loss: 76531.8125 - val_loss: 30307.6621
Epoch 9/30
2/2 [==============================] - 0s 40ms/step - loss: 76512.3984 - val_loss: 30303.9863
Epoch 10/30
2/2 [==============================] - 0s 43ms/step - loss: 76484.1484 - val_loss: 30331.2168
Epoch 11/30
2/2 [==============================] - 0s 39ms/step - loss: 76431.7812 - val_loss: 30342.0996
Epoch 12/30
2/2 [==============================] - 0s 41ms/step - loss: 76439.2188 - val_loss: 30363.2012
Epoch 13/30
2/2 [==============================] - 0s 43ms/step - loss: 76380.8281 - val_loss: 30365.1660
Epoch 14/30
2/2 [==============================] - 0s 41ms/step - loss: 76379.2422 - val_loss: 30359.4160
Epoch 15/30
2/2 [==============================] - 0s 40ms/step - loss: 76361.9766 - val_loss: 30335.9492
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 76300.6875 - val_loss: 30346.4648
Epoch 17/30
2/2 [==============================] - 0s 41ms/step - loss: 76290.8438 - val_loss: 30360.0977
Epoch 18/30
2/2 [==============================] - 0s 40ms/step - loss: 76267.1875 - val_loss: 30372.0117
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 76232.8438 - val_loss: 30371.7676
Epoch 20/30
2/2 [==============================] - 0s 43ms/step - loss: 76220.5312 - val_loss: 30370.0508
Epoch 21/30
2/2 [==============================] - 0s 57ms/step - loss: 76186.8750 - val_loss: 30373.7930
Epoch 22/30
2/2 [==============================] - 0s 49ms/step - loss: 76166.9375 - val_loss: 30389.9199
Epoch 23/30
2/2 [==============================] - 0s 48ms/step - loss: 76281.1875 - val_loss: 30364.8262
Epoch 24/30
2/2 [==============================] - 0s 43ms/step - loss: 76115.0938 - val_loss: 30368.5117
Epoch 25/30
2/2 [==============================] - 0s 42ms/step - loss: 76151.0781 - val_loss: 30373.1035
Epoch 26/30
2/2 [==============================] - 0s 49ms/step - loss: 76119.8984 - val_loss: 30419.7852
Epoch 27/30
2/2 [==============================] - 0s 63ms/step - loss: 76057.7109 - val_loss: 30449.7188
Epoch 28/30
2/2 [==============================] - 0s 49ms/step - loss: 76008.3047 - val_loss: 30461.1914
Epoch 29/30
2/2 [==============================] - 0s 54ms/step - loss: 75995.7109 - val_loss: 30458.5488
Epoch 30/30
2/2 [==============================] - 0s 48ms/step - loss: 75964.4688 - val_loss: 30468.4180
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 116ms/step - loss: 76027.2109 - val_loss: 30501.7344
Epoch 2/30
2/2 [==============================] - 0s 51ms/step - loss: 75913.7969 - val_loss: 30508.1523
Epoch 3/30
2/2 [==============================] - 0s 48ms/step - loss: 75918.1953 - val_loss: 30492.9043
Epoch 4/30
2/2 [==============================] - 0s 46ms/step - loss: 75887.5391 - val_loss: 30474.9238
Epoch 5/30
2/2 [==============================] - 0s 50ms/step - loss: 75850.7266 - val_loss: 30471.3730
Epoch 6/30
2/2 [==============================] - 0s 44ms/step - loss: 75834.4141 - val_loss: 30465.0762
Epoch 7/30
2/2 [==============================] - 0s 46ms/step - loss: 75802.7422 - val_loss: 30490.0508
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 75798.0469 - val_loss: 30477.2383
Epoch 9/30
2/2 [==============================] - 0s 43ms/step - loss: 75746.8906 - val_loss: 30499.0352
Epoch 10/30
2/2 [==============================] - 0s 44ms/step - loss: 75730.6953 - val_loss: 30523.4375
Epoch 11/30
2/2 [==============================] - 0s 88ms/step - loss: 75727.1797 - val_loss: 30541.9062
Epoch 12/30
2/2 [==============================] - 0s 71ms/step - loss: 75712.5859 - val_loss: 30576.2188
Epoch 13/30
2/2 [==============================] - 0s 59ms/step - loss: 75723.8125 - val_loss: 30552.7227
Epoch 14/30
2/2 [==============================] - 0s 49ms/step - loss: 75651.8750 - val_loss: 30544.1855
Epoch 15/30
2/2 [==============================] - 0s 47ms/step - loss: 75678.4141 - val_loss: 30523.0293
Epoch 16/30
2/2 [==============================] - 0s 45ms/step - loss: 75603.5000 - val_loss: 30564.1543
Epoch 17/30
2/2 [==============================] - 0s 44ms/step - loss: 75567.4141 - val_loss: 30564.1230
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 75542.1562 - val_loss: 30579.9727
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 75513.4141 - val_loss: 30607.9629
Epoch 20/30
2/2 [==============================] - 0s 46ms/step - loss: 75551.1250 - val_loss: 30652.9844
Epoch 21/30
2/2 [==============================] - 0s 58ms/step - loss: 75490.6328 - val_loss: 30650.8262
Epoch 22/30
2/2 [==============================] - 0s 56ms/step - loss: 75457.9766 - val_loss: 30668.0840
Epoch 23/30
2/2 [==============================] - 0s 56ms/step - loss: 75476.4297 - val_loss: 30670.7852
Epoch 24/30
2/2 [==============================] - 0s 50ms/step - loss: 75406.6406 - val_loss: 30654.2754
Epoch 25/30
2/2 [==============================] - 0s 44ms/step - loss: 75367.9219 - val_loss: 30665.4023
Epoch 26/30
2/2 [==============================] - 0s 50ms/step - loss: 75348.1797 - val_loss: 30667.1895
Epoch 27/30
2/2 [==============================] - 0s 52ms/step - loss: 75352.4453 - val_loss: 30655.6836
Epoch 28/30
2/2 [==============================] - 0s 64ms/step - loss: 75332.6328 - val_loss: 30661.4531
Epoch 29/30
2/2 [==============================] - 0s 60ms/step - loss: 75300.6875 - val_loss: 30693.6152
Epoch 30/30
2/2 [==============================] - 0s 56ms/step - loss: 75249.6016 - val_loss: 30697.0918
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 81ms/step - loss: 75233.0391 - val_loss: 30704.4961
Epoch 2/30
2/2 [==============================] - 0s 37ms/step - loss: 75206.6641 - val_loss: 30704.6562
Epoch 3/30
2/2 [==============================] - 0s 43ms/step - loss: 75181.1406 - val_loss: 30704.6562
Epoch 4/30
2/2 [==============================] - 0s 41ms/step - loss: 75171.5625 - val_loss: 30706.4023
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 75154.4766 - val_loss: 30733.5781
Epoch 6/30
2/2 [==============================] - 0s 41ms/step - loss: 75135.2578 - val_loss: 30719.1758
Epoch 7/30
2/2 [==============================] - 0s 51ms/step - loss: 75113.3906 - val_loss: 30745.2773
Epoch 8/30
2/2 [==============================] - 0s 48ms/step - loss: 75084.7266 - val_loss: 30732.6777
Epoch 9/30
2/2 [==============================] - 0s 46ms/step - loss: 75086.1953 - val_loss: 30714.6406
Epoch 10/30
2/2 [==============================] - 0s 45ms/step - loss: 75018.1094 - val_loss: 30732.4961
Epoch 11/30
2/2 [==============================] - 0s 51ms/step - loss: 75038.9062 - val_loss: 30766.3594
Epoch 12/30
2/2 [==============================] - 0s 62ms/step - loss: 75029.7109 - val_loss: 30745.5977
Epoch 13/30
2/2 [==============================] - 0s 63ms/step - loss: 74966.1484 - val_loss: 30754.4707
Epoch 14/30
2/2 [==============================] - 0s 53ms/step - loss: 74945.7109 - val_loss: 30760.3008
Epoch 15/30
2/2 [==============================] - 0s 50ms/step - loss: 74941.2109 - val_loss: 30764.1309
Epoch 16/30
2/2 [==============================] - 0s 54ms/step - loss: 74888.1953 - val_loss: 30806.7402
Epoch 17/30
2/2 [==============================] - 0s 48ms/step - loss: 74879.9922 - val_loss: 30810.3301
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 74854.3125 - val_loss: 30837.1270
Epoch 19/30
2/2 [==============================] - 0s 44ms/step - loss: 74835.1875 - val_loss: 30846.9863
Epoch 20/30
2/2 [==============================] - 0s 59ms/step - loss: 74865.9141 - val_loss: 30883.5195
Epoch 21/30
2/2 [==============================] - 0s 56ms/step - loss: 74816.3984 - val_loss: 30936.4121
Epoch 22/30
2/2 [==============================] - 0s 62ms/step - loss: 74770.5078 - val_loss: 30969.9414
Epoch 23/30
2/2 [==============================] - 0s 44ms/step - loss: 74764.0625 - val_loss: 30972.6543
Epoch 24/30
2/2 [==============================] - 0s 44ms/step - loss: 74734.8125 - val_loss: 30948.4160
Epoch 25/30
2/2 [==============================] - 0s 53ms/step - loss: 74779.0781 - val_loss: 30984.9980
Epoch 26/30
2/2 [==============================] - 0s 59ms/step - loss: 74666.3359 - val_loss: 30977.9668
Epoch 27/30
2/2 [==============================] - 0s 50ms/step - loss: 74687.9688 - val_loss: 31010.0742
Epoch 28/30
2/2 [==============================] - 0s 53ms/step - loss: 74678.3516 - val_loss: 30992.2344
Epoch 29/30
2/2 [==============================] - 0s 46ms/step - loss: 74594.2969 - val_loss: 30992.3750
Epoch 30/30
2/2 [==============================] - 0s 45ms/step - loss: 74581.5547 - val_loss: 30994.5098
3/3 [==============================] - 0s 3ms/step
Epoch 1/30
2/2 [==============================] - 0s 89ms/step - loss: 74556.7656 - val_loss: 30978.3301
Epoch 2/30
2/2 [==============================] - 0s 42ms/step - loss: 74571.7969 - val_loss: 30987.6035
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 74531.8750 - val_loss: 30956.7188
Epoch 4/30
2/2 [==============================] - 0s 40ms/step - loss: 74482.0781 - val_loss: 30953.9668
Epoch 5/30
2/2 [==============================] - 0s 40ms/step - loss: 74478.3672 - val_loss: 30974.2832
Epoch 6/30
2/2 [==============================] - 0s 39ms/step - loss: 74472.0469 - val_loss: 30977.8945
Epoch 7/30
2/2 [==============================] - 0s 39ms/step - loss: 74424.4688 - val_loss: 30991.4160
Epoch 8/30
2/2 [==============================] - 0s 41ms/step - loss: 74409.6094 - val_loss: 31003.7832
Epoch 9/30
2/2 [==============================] - 0s 45ms/step - loss: 74415.0391 - val_loss: 31012.8633
Epoch 10/30
2/2 [==============================] - 0s 40ms/step - loss: 74375.3906 - val_loss: 31009.9961
Epoch 11/30
2/2 [==============================] - 0s 41ms/step - loss: 74339.1719 - val_loss: 31023.5742
Epoch 12/30
2/2 [==============================] - 0s 40ms/step - loss: 74374.1797 - val_loss: 31065.0430
Epoch 13/30
2/2 [==============================] - 0s 40ms/step - loss: 74319.6641 - val_loss: 31085.2754
Epoch 14/30
2/2 [==============================] - 0s 40ms/step - loss: 74348.0469 - val_loss: 31112.3398
Epoch 15/30
2/2 [==============================] - 0s 39ms/step - loss: 74264.4141 - val_loss: 31087.9062
Epoch 16/30
2/2 [==============================] - 0s 40ms/step - loss: 74274.8438 - val_loss: 31071.9023
Epoch 17/30
2/2 [==============================] - 0s 49ms/step - loss: 74225.3984 - val_loss: 31094.4180
Epoch 18/30
2/2 [==============================] - 0s 43ms/step - loss: 74179.4375 - val_loss: 31091.8535
Epoch 19/30
2/2 [==============================] - 0s 41ms/step - loss: 74177.5391 - val_loss: 31091.2949
Epoch 20/30
2/2 [==============================] - 0s 42ms/step - loss: 74191.1641 - val_loss: 31096.0430
Epoch 21/30
2/2 [==============================] - 0s 44ms/step - loss: 74120.7422 - val_loss: 31087.2539
Epoch 22/30
2/2 [==============================] - 0s 54ms/step - loss: 74122.4062 - val_loss: 31120.6895
Epoch 23/30
2/2 [==============================] - 0s 56ms/step - loss: 74124.8750 - val_loss: 31120.8477
Epoch 24/30
2/2 [==============================] - 0s 59ms/step - loss: 74103.0938 - val_loss: 31162.0312
Epoch 25/30
2/2 [==============================] - 0s 46ms/step - loss: 74043.9844 - val_loss: 31180.6367
Epoch 26/30
2/2 [==============================] - 0s 44ms/step - loss: 74008.3672 - val_loss: 31188.3105
Epoch 27/30
2/2 [==============================] - 0s 45ms/step - loss: 74011.5703 - val_loss: 31165.8301
Epoch 28/30
2/2 [==============================] - 0s 61ms/step - loss: 74014.7656 - val_loss: 31143.7070
Epoch 29/30
2/2 [==============================] - 0s 53ms/step - loss: 73976.4844 - val_loss: 31145.0801
Epoch 30/30
2/2 [==============================] - 0s 56ms/step - loss: 73928.9844 - val_loss: 31169.0020
3/3 [==============================] - 0s 2ms/step
Epoch 1/30
2/2 [==============================] - 0s 124ms/step - loss: 73962.3750 - val_loss: 31227.1973
Epoch 2/30
2/2 [==============================] - 0s 41ms/step - loss: 73917.6719 - val_loss: 31247.5723
Epoch 3/30
2/2 [==============================] - 0s 42ms/step - loss: 73881.1250 - val_loss: 31248.7520
Epoch 4/30
2/2 [==============================] - 0s 53ms/step - loss: 73848.3828 - val_loss: 31263.5254
Epoch 5/30
2/2 [==============================] - 0s 57ms/step - loss: 73865.8125 - val_loss: 31271.1816
Epoch 6/30
2/2 [==============================] - 0s 58ms/step - loss: 73833.7109 - val_loss: 31273.5020
Epoch 7/30
2/2 [==============================] - 0s 67ms/step - loss: 73785.2578 - val_loss: 31303.9316
Epoch 8/30
2/2 [==============================] - 0s 40ms/step - loss: 73780.1406 - val_loss: 31334.3555
Epoch 9/30
2/2 [==============================] - 0s 60ms/step - loss: 73760.8594 - val_loss: 31365.0664
Epoch 10/30
2/2 [==============================] - 0s 39ms/step - loss: 73749.3047 - val_loss: 31366.6934
Epoch 11/30
2/2 [==============================] - 0s 52ms/step - loss: 73720.8125 - val_loss: 31399.1602
Epoch 12/30
2/2 [==============================] - 0s 59ms/step - loss: 73763.6641 - val_loss: 31374.4062
Epoch 13/30
2/2 [==============================] - 0s 47ms/step - loss: 73682.9375 - val_loss: 31368.8887
Epoch 14/30
2/2 [==============================] - 0s 63ms/step - loss: 73717.1172 - val_loss: 31412.9062
Epoch 15/30
2/2 [==============================] - 0s 48ms/step - loss: 73618.4219 - val_loss: 31431.7812
Epoch 16/30
2/2 [==============================] - 0s 69ms/step - loss: 73605.4688 - val_loss: 31451.1152
Epoch 17/30
2/2 [==============================] - 0s 61ms/step - loss: 73602.5547 - val_loss: 31458.6465
Epoch 18/30
2/2 [==============================] - 0s 57ms/step - loss: 73592.9141 - val_loss: 31457.3340
Epoch 19/30
2/2 [==============================] - 0s 42ms/step - loss: 73565.0781 - val_loss: 31471.8965
Epoch 20/30
2/2 [==============================] - 0s 44ms/step - loss: 73517.9609 - val_loss: 31457.9023
Epoch 21/30
2/2 [==============================] - 0s 41ms/step - loss: 73508.1562 - val_loss: 31438.3105
Epoch 22/30
2/2 [==============================] - 0s 43ms/step - loss: 73493.7969 - val_loss: 31470.2070
Epoch 23/30
2/2 [==============================] - 0s 39ms/step - loss: 73553.3047 - val_loss: 31510.2793
Epoch 24/30
2/2 [==============================] - 0s 41ms/step - loss: 73436.9688 - val_loss: 31492.1152
Epoch 25/30
2/2 [==============================] - 0s 37ms/step - loss: 73427.3359 - val_loss: 31499.7305
Epoch 26/30
2/2 [==============================] - 0s 53ms/step - loss: 73415.0938 - val_loss: 31518.2012
Epoch 27/30
2/2 [==============================] - 0s 55ms/step - loss: 73374.1484 - val_loss: 31510.9902
Epoch 28/30
2/2 [==============================] - 0s 46ms/step - loss: 73358.5078 - val_loss: 31513.2363
Epoch 29/30
2/2 [==============================] - 0s 52ms/step - loss: 73369.6484 - val_loss: 31483.4707
Epoch 30/30
2/2 [==============================] - 0s 58ms/step - loss: 73314.4453 - val_loss: 31504.3867
3/3 [==============================] - 0s 2ms/step
def animate2(i):
if i<n_iter:
line.set_ydata(predecir2[i,:])
fig = plt.figure(figsize=(12,5))
axes = fig.add_subplot(1,2,1)
plt.plot(x_train,y_train,'bo')
plt.plot(x_test,y_test,'ro',alpha=0.3)
# Etiquetas de los Ejes
plt.xlabel('$x$',fontsize=15)
plt.ylabel('$y$',rotation=0,fontsize=15)
line, = axes.plot(sorted(x_train), predecir2[0,:], 'r-')
# Leyendas
plt.legend(['Train','Test','Red Neuronal'])
plt.title('Visualizando Red Neuronal');
# Animación
ani2 = FuncAnimation(fig=fig, func=animate2, interval=150)
axes2 = fig.add_subplot(1,2,2)
predecir2_test = model2.predict(sorted(x_test),verbose=0).reshape(-1)
plt.plot(x_train,y_train,'bo',alpha=0.1)
plt.plot(x_test,y_test,'ro')
plt.plot(sorted(x_test),predecir2_test,'r--')
# Etiquetas de los Ejes
plt.xlabel('$x$',fontsize=15)
plt.ylabel('$y$',rotation=0,fontsize=15)
# Leyendas
plt.legend(['Train','Test','Red Neuronal'])
plt.title('Modelo Resultante para Test');
video = ani2.to_html5_video()
html = display.HTML(video)
display.display(html)
plt.close()
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
c:\Users\User\OneDrive\Documentos\Libro-Fundamentos-main\Redes_Neuronales\Cuadernos\NN_Animation.ipynb Celda 32 in <cell line: 34>()
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation.ipynb#ch0000031?line=30'>31</a> plt.legend(['Train','Test','Red Neuronal'])
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation.ipynb#ch0000031?line=31'>32</a> plt.title('Modelo Resultante para Test');
---> <a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation.ipynb#ch0000031?line=33'>34</a> video = ani2.to_html5_video()
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation.ipynb#ch0000031?line=34'>35</a> html = display.HTML(video)
<a href='vscode-notebook-cell:/c%3A/Users/User/OneDrive/Documentos/Libro-Fundamentos-main/Redes_Neuronales/Cuadernos/NN_Animation.ipynb#ch0000031?line=35'>36</a> display.display(html)
File c:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\animation.py:1264, in Animation.to_html5_video(self, embed_limit)
1261 path = Path(tmpdir, "temp.m4v")
1262 # We create a writer manually so that we can get the
1263 # appropriate size for the tag
-> 1264 Writer = writers[mpl.rcParams['animation.writer']]
1265 writer = Writer(codec='h264',
1266 bitrate=mpl.rcParams['animation.bitrate'],
1267 fps=1000. / self._interval)
1268 self.save(str(path), writer=writer)
File c:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\animation.py:151, in MovieWriterRegistry.__getitem__(self, name)
149 if self.is_available(name):
150 return self._registered[name]
--> 151 raise RuntimeError(f"Requested MovieWriter ({name}) not available")
RuntimeError: Requested MovieWriter (ffmpeg) not available
Datos más Retadores#
trend=0.1
time=np.arange(0,100,0.1)
value=trend*time+np.sin(time)+np.random.normal(scale=0.5,size=len(time))
model3 = tf.keras.Sequential([
keras.layers.Dense(units=10,input_shape=(1,),activation='elu'),
keras.layers.Dense(units=20,activation='elu'),
keras.layers.Dense(units=30,activation='elu'),
keras.layers.Dense(units=40,activation='elu'),
keras.layers.Dense(units=50,activation='elu'),
keras.layers.Dense(units=60,activation='elu'),
keras.layers.Dense(units=70,activation='elu'),
keras.layers.Dense(units=1)
])
model3.compile(optimizer='adam', loss='mean_squared_error')
model3.summary()
Model: "sequential_2"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_5 (Dense) (None, 10) 20
dense_6 (Dense) (None, 20) 220
dense_7 (Dense) (None, 30) 630
dense_8 (Dense) (None, 40) 1240
dense_9 (Dense) (None, 50) 2050
dense_10 (Dense) (None, 60) 3060
dense_11 (Dense) (None, 70) 4270
dense_12 (Dense) (None, 1) 71
=================================================================
Total params: 11,561
Trainable params: 11,561
Non-trainable params: 0
_________________________________________________________________
def animate3(i):
if i<n_iter:
line.set_ydata(predecir3[i,:])
n_iter=100
predecir3=np.zeros((n_iter,len(time)))
for i in range(n_iter):
model3.fit(time, value, epochs=10,verbose=1)
predecir3[i,:]=model3.predict(time).reshape(1,-1)
Epoch 1/10
32/32 [==============================] - 1s 4ms/step - loss: 6.0186
Epoch 2/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7990
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7270
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7840
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7419
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7125
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7189
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7063
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7089
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7126
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7152
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7176
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7109
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7168
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7096
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7204
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7233
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7076
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7032
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7130
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7320
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7097
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7147
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6980
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7203
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7292
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7055
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7073
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7019
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6982
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7606
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7008
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6960
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7191
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7218
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7236
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7324
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7173
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6908
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6894
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7080
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7082
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7262
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7706
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7459
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7300
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6934
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6863
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7165
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7271
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7983
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7171
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7044
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7550
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7733
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7325
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7563
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7088
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7199
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6945
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6932
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7095
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7418
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7026
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7185
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7117
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6900
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7770
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7201
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6934
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7540
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6948
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6881
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7139
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7033
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7025
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7347
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7107
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7277
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7430
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6911
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6958
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6904
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7140
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7071
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6994
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7047
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7060
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7221
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7184
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7899
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7099
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6923
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7122
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6972
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7039
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7573
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7018
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7789
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6977
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6856
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6903
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6900
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.8123
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7041
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6950
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7088
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6962
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7054
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7320
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6921
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7128
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7391
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7475
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7951
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7563
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6890
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7267
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7067
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6948
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6971
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7009
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6920
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6951
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6985
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7138
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7283
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7079
Epoch 9/10
32/32 [==============================] - 0s 6ms/step - loss: 0.7106
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6960
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7852
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7014
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7603
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7102
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6787
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7077
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6774
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6818
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6890
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6987
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7212
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7402
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7025
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6783
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6826
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7208
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6919
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6946
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6975
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6709
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6736
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6913
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6680
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6987
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6983
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7041
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6866
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6705
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7191
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7026
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6871
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6674
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6820
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6829
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6739
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6711
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6707
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6768
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6863
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6708
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6791
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6687
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7196
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7046
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6618
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6741
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6720
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6682
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6797
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6941
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6635
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7190
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7116
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6508
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6797
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6794
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6618
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6598
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6615
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6761
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6924
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6610
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6882
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6651
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6605
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6819
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6790
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6575
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6709
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6589
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6575
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6760
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6765
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7200
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6695
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.7502
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6675
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6850
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6640
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7024
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6564
Epoch 2/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6809
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6675
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6841
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6786
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6645
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6571
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6456
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6847
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6468
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6710
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6508
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6421
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6613
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6554
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6697
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6788
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6578
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6554
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6604
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6456
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6718
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6605
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6709
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6511
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6620
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6488
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6665
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6498
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6377
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6460
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6652
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.7200
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6426
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6746
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6483
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6690
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6546
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6613
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6457
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6594
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6441
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6484
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6439
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6534
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6488
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6525
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6665
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6638
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6969
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6430
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6603
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6800
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6740
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6729
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6968
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6638
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6470
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6629
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6729
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6878
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6780
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6426
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6430
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6535
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6426
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6775
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6761
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6491
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6444
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6593
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6429
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6435
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6416
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6399
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6788
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6585
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6810
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6544
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6443
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6383
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6393
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6336
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6460
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6995
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6611
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6473
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6511
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6453
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6480
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6628
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6627
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6426
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6442
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6454
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6566
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6405
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6558
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6375
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6788
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6732
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6467
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6751
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6397
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6977
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6526
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6579
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6430
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6635
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6320
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6378
Epoch 2/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6381
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6627
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6485
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6907
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6883
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6334
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6548
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6358
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6414
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6897
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6558
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6329
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6623
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6328
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6327
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6485
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6592
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6363
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6322
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6636
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6635
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6335
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6333
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6717
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6381
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6651
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6515
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6361
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6660
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6570
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6710
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6472
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6604
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6445
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6448
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6306
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6341
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6417
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6416
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6457
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6521
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6579
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6413
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6311
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6450
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6310
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6415
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6462
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6532
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6639
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6741
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6313
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6560
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6746
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6425
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6403
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6434
Epoch 9/10
32/32 [==============================] - 0s 5ms/step - loss: 0.6798
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6466
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6342
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6536
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6326
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6351
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6403
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6419
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6294
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6512
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6794
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6411
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6314
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6485
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6450
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6570
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6442
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6298
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6276
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6648
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6296
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6452
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6583
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6264
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6373
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6332
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6364
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6368
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6260
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6612
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6655
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6263
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6408
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6317
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6579
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6380
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6246
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6295
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6319
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6362
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6342
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6426
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6612
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6321
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6748
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6215
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6313
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6421
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6540
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6422
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6716
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6242
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6284
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6251
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6338
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6338
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6317
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6194
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6471
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6261
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6288
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6290
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6397
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6399
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6216
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6645
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6358
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6313
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6395
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6253
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6315
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6452
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6572
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6328
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6514
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6284
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6221
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6309
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7574
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6837
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.7168
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6656
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6359
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6407
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6247
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6525
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6272
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6238
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6242
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6209
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6525
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6249
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6551
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6460
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6298
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6448
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6230
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6221
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6227
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6261
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6329
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6210
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6348
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6289
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6526
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6294
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6335
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6305
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6199
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6384
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6258
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6304
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6330
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6542
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6585
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6325
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6395
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6456
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6138
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6683
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6541
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6248
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6454
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6275
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6563
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6451
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6450
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6277
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6355
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6384
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6296
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6196
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6210
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6128
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6267
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6095
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6420
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6352
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6240
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6320
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6292
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6091
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6208
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6178
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6394
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6193
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6267
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6096
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6362
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6074
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6186
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6294
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6155
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6383
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6488
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6393
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6124
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6229
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6354
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6385
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6422
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6159
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6188
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6111
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6145
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6002
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6201
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6255
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6317
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6150
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6040
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6286
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6311
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6232
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6311
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6258
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6193
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6416
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6097
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6502
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6281
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6064
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6128
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6096
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6073
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6032
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6064
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6011
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6167
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6072
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6448
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6395
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6120
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6291
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6402
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6203
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6359
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6087
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6245
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6225
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6107
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6144
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6069
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6331
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6110
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6430
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6482
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6571
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6474
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6552
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6180
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6081
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6105
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6147
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6146
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6650
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6267
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6019
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6046
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6150
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6175
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6068
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6120
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6096
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6049
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6161
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6049
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6230
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6397
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6114
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6073
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6106
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6060
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6276
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6045
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6121
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6180
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6277
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6946
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6417
Epoch 9/10
32/32 [==============================] - 0s 6ms/step - loss: 0.6259
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6372
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6092
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6050
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6058
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6347
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6041
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6089
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5933
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6040
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5996
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6044
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6397
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6047
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6197
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6317
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5978
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6112
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5956
Epoch 8/10
32/32 [==============================] - 0s 6ms/step - loss: 0.6006
Epoch 9/10
32/32 [==============================] - 0s 7ms/step - loss: 0.6093
Epoch 10/10
32/32 [==============================] - 0s 6ms/step - loss: 0.6217
32/32 [==============================] - 0s 5ms/step
Epoch 1/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6168
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6013
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6044
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5957
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6402
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6024
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6248
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5999
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5980
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6041
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5998
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6126
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5956
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6287
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6057
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5962
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5974
Epoch 8/10
32/32 [==============================] - 0s 6ms/step - loss: 0.6018
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6181
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6082
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6095
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6406
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6056
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6056
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6121
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6119
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5877
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6063
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6074
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6090
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6190
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6290
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5998
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6005
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5926
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5972
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5938
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6164
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5993
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6371
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6044
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5994
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5916
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5872
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6057
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5961
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6091
Epoch 8/10
32/32 [==============================] - 0s 7ms/step - loss: 0.6048
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5914
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6047
32/32 [==============================] - 0s 4ms/step
Epoch 1/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5989
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6041
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6025
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6157
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6023
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5983
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6119
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5931
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5972
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6004
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6044
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6056
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5987
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6180
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6205
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6322
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6253
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6445
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6047
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5864
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5913
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5925
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6215
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6194
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5840
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5879
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6041
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5913
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6066
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5847
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6134
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5853
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6146
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6140
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5951
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5851
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5909
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6028
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6042
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5945
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5978
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6226
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6152
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5852
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6293
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6044
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6215
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6015
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5949
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5906
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5852
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5900
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6313
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5995
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5902
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6013
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6013
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5899
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6181
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5910
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6104
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5853
Epoch 3/10
32/32 [==============================] - 0s 5ms/step - loss: 0.6026
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5889
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6057
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5899
Epoch 7/10
32/32 [==============================] - 0s 5ms/step - loss: 0.6178
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5940
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5969
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5981
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5944
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5869
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6145
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5906
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6221
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6019
Epoch 7/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5937
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6289
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6152
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6021
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6068
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5925
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5746
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6093
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5890
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6055
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5901
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5953
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5940
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5810
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5963
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5887
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5816
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5744
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5913
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5835
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5786
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5901
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6009
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5868
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5842
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5986
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6177
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5851
Epoch 5/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5776
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5925
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5886
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6063
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5810
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5764
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5784
Epoch 2/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5765
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5868
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5861
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5979
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5842
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5792
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5834
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5869
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5921
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.6022
Epoch 2/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5768
Epoch 3/10
32/32 [==============================] - 0s 6ms/step - loss: 0.5778
Epoch 4/10
32/32 [==============================] - 0s 5ms/step - loss: 0.6044
Epoch 5/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5868
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5734
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5804
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5740
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5872
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5976
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5906
Epoch 2/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5900
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5665
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5697
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5774
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5666
Epoch 7/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5901
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5975
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5839
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5867
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5656
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5708
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5783
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5571
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5976
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5794
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5874
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5971
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5644
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5619
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5660
Epoch 2/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5952
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5803
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5675
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6093
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.6003
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5704
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5658
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5584
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5754
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5654
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5726
Epoch 3/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5787
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5794
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5580
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5708
Epoch 7/10
32/32 [==============================] - 0s 7ms/step - loss: 0.5693
Epoch 8/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5706
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5611
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5543
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5659
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5946
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5947
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5666
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5744
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5815
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5865
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5760
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5620
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5553
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5509
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5680
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5537
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5541
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5562
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6249
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5820
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5900
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5595
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5552
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5505
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5704
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5628
Epoch 4/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5491
Epoch 5/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5711
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5547
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5984
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5617
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5518
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5539
32/32 [==============================] - 0s 3ms/step
Epoch 1/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5456
Epoch 2/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5604
Epoch 3/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5626
Epoch 4/10
32/32 [==============================] - 0s 6ms/step - loss: 0.5519
Epoch 5/10
32/32 [==============================] - 0s 5ms/step - loss: 0.5522
Epoch 6/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5517
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5417
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5863
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5558
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5448
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5460
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5479
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5473
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5629
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5360
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5504
Epoch 7/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5645
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5461
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5522
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5563
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5675
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5510
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5423
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5505
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5647
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5605
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5601
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5546
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5389
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5715
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5521
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5487
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5650
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5444
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5646
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5484
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5503
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5501
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5627
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5396
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5657
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5445
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5441
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5457
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5476
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5359
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5541
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5339
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5542
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5464
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5392
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5508
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5434
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5751
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5490
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5583
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5496
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5487
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5528
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5456
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5545
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5663
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5491
Epoch 4/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5457
Epoch 5/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5316
Epoch 6/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5588
Epoch 7/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5535
Epoch 8/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5546
Epoch 9/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5514
Epoch 10/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5604
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5547
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5512
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5534
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5499
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5628
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5515
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5368
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.6007
Epoch 9/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5522
Epoch 10/10
32/32 [==============================] - 0s 4ms/step - loss: 0.5474
32/32 [==============================] - 0s 1ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5535
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5608
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5510
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5353
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5565
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5661
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5739
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5561
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5636
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5496
32/32 [==============================] - 0s 2ms/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5584
Epoch 2/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5343
Epoch 3/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5328
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5377
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5350
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5573
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5626
Epoch 8/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5623
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5705
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5431
32/32 [==============================] - 0s 703us/step
Epoch 1/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5432
Epoch 2/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5338
Epoch 3/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5373
Epoch 4/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5338
Epoch 5/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5407
Epoch 6/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5444
Epoch 7/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5389
Epoch 8/10
32/32 [==============================] - 0s 3ms/step - loss: 0.5616
Epoch 9/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5555
Epoch 10/10
32/32 [==============================] - 0s 2ms/step - loss: 0.5491
32/32 [==============================] - 0s 726us/step
fig = plt.figure(figsize=(12,5))
axes = fig.add_subplot(1,1,1)
plt.plot(time,value,'b-',scaley=True, scalex=True)
line, = axes.plot(time, predecir3[0,:], 'r-')
ani3 = FuncAnimation(fig=fig, func=animate3, interval=200)
video = ani3.to_html5_video(embed_li)
html = display.HTML(video)
display.display(html)
plt.close()
Visualizaciones en 3D#
from mpl_toolkits.mplot3d import Axes3D
# Generar Datos
def f(x, y):
return -(x ** 2 + y ** 2)
x = np.linspace(-6, 6, 30)
y = np.linspace(-6, 6, 30)
X, Y = np.meshgrid(x, y)
Z = f(X, Y)
plt.close('all')
fig = plt.figure(figsize=(10,7))
ax = plt.axes(projection='3d')
ax.scatter3D(X, Y, Z)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z');
data = np.array([X, Y, Z]).reshape(3, -1).T
df_data = pd.DataFrame(data,columns=['x','y','z'])
df_data
| x | y | z | |
|---|---|---|---|
| 0 | -6.000000 | -6.0 | -72.000000 |
| 1 | -5.586207 | -6.0 | -67.205707 |
| 2 | -5.172414 | -6.0 | -62.753864 |
| 3 | -4.758621 | -6.0 | -58.644471 |
| 4 | -4.344828 | -6.0 | -54.877527 |
| ... | ... | ... | ... |
| 895 | 4.344828 | 6.0 | -54.877527 |
| 896 | 4.758621 | 6.0 | -58.644471 |
| 897 | 5.172414 | 6.0 | -62.753864 |
| 898 | 5.586207 | 6.0 | -67.205707 |
| 899 | 6.000000 | 6.0 | -72.000000 |
900 rows × 3 columns
model4 = tf.keras.Sequential([
keras.layers.Dense(units=10,input_shape=(2,),activation='elu'),
keras.layers.Dense(units=20,activation='elu'),
keras.layers.Dense(units=1)
])
model4.compile(optimizer='adam', loss='mean_squared_error')
model4.summary()
Model: "sequential_4"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_10 (Dense) (None, 10) 30
dense_11 (Dense) (None, 20) 220
dense_12 (Dense) (None, 1) 21
=================================================================
Total params: 271
Trainable params: 271
Non-trainable params: 0
_________________________________________________________________
n_iter=150
predecir4=np.zeros((n_iter+1,len(df_data['z'])))
predecir4[0,:]=model4.predict(df_data[['x','y']]).reshape(1,-1)
for i in range(n_iter):
model4.fit(df_data[['x','y']].values, df_data['z'].values, epochs=1,verbose=1)
predecir4[i+1,:]=model4.predict(df_data[['x','y']]).reshape(1,-1)
29/29 [==============================] - 0s 3ms/step
2022-07-25 08:35:11.895800: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:113] Plugin optimizer for device_type GPU is enabled.
18/29 [=================>............] - ETA: 0s - loss: 905.8674
2022-07-25 08:35:12.150812: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:113] Plugin optimizer for device_type GPU is enabled.
29/29 [==============================] - 0s 7ms/step - loss: 885.5447
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 819.2184
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 749.0834
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 671.5912
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 590.3008
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 505.6302
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 425.0614
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 349.2172
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 283.0719
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 229.0103
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 186.1157
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 155.5497
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 136.9622
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 126.5764
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 119.8598
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 114.6960
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 110.5150
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 106.3824
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 102.1442
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 97.7323
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 92.9351
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 88.1731
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 83.0381
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 78.0692
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 73.1947
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 68.4573
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 63.3344
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 58.5657
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 54.1830
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 49.7823
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 46.0109
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 42.2532
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 38.9911
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 35.9784
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 33.2229
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 30.7936
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 28.6516
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 26.6384
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 8ms/step - loss: 24.7729
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 22.9954
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 21.5801
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 20.1007
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 18.7821
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 17.6908
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 8ms/step - loss: 16.5457
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 15.4581
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 14.5978
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 13.6487
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 12.9080
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 12.1603
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 11.6460
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 10.9884
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 10.5530
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 10.0781
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 9.6897
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 9.3012
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 8.9755
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 8.7365
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 8.5113
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 8.3458
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 8.1346
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 7.9710
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 7.8971
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 8ms/step - loss: 7.7712
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.6249
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 7.5655
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.5160
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.4397
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.3265
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.2832
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.2489
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.2290
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.1356
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 7.0881
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 9ms/step - loss: 7.0483
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.9599
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.9354
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.8997
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.8579
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.8291
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.7642
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.7208
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.7625
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 8ms/step - loss: 6.6805
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 6.6664
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.6370
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.5488
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.5109
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.5436
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.4690
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.4298
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.3907
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.4219
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.3215
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.3125
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.2487
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.2482
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.1978
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.1503
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.1660
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.0954
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.0819
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 6.0111
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.9946
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 5.9454
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 5.9421
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 5.9088
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.8563
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.8571
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 5.7331
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 8ms/step - loss: 5.7148
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.6812
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.6296
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.5670
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.5724
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.5573
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.4868
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.4765
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.3843
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.3765
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.2925
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.2481
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.2265
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.2018
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.1456
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.1141
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.1542
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 5.0399
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 5.0069
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.9425
29/29 [==============================] - 0s 4ms/step
29/29 [==============================] - 0s 7ms/step - loss: 4.9303
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.9443
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.8866
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.7820
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.7250
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.7206
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.6658
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 7ms/step - loss: 4.6223
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.5756
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.5455
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 7ms/step - loss: 4.4965
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.4620
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.4630
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.3803
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.3496
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.3047
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.2752
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.2405
29/29 [==============================] - 0s 2ms/step
29/29 [==============================] - 0s 8ms/step - loss: 4.1189
29/29 [==============================] - 0s 3ms/step
29/29 [==============================] - 0s 6ms/step - loss: 4.1044
29/29 [==============================] - 0s 2ms/step
def animate4(i):
if i<n_iter:
ax.clear()
ax.set_zlim(-70,10)
ax.scatter3D(X, Y, Z)
ax.plot_surface(X,Y,predecir4_grid[i,:,:],cmap='jet',shade=True,alpha=0.8)
predecir4_grid = predecir4.reshape(n_iter+1,X.shape[0],X.shape[1])
predecir4_grid.shape
(151, 30, 30)
plt.close('all')
fig = plt.figure(figsize=(10,7))
ax = plt.axes(projection='3d')
ax.set_zlim(-70,10)
ax.scatter3D(X, Y, Z)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z');
ax.plot_surface(X,Y,predecir4_grid[0,:,:],cmap='jet',shade=True,alpha=0.8)
ani4 = FuncAnimation(fig=fig, func=animate4, interval=150)
video = ani4.to_html5_video()
html = display.HTML(video)
display.display(html)
plt.close()