深度残差网络+自适应参数化ReLU激活函数（调参记录26）Cifar10~95.92%

本文在调参记录25的基础上，将自适应参数化ReLU中间层的神经元个数，从2个增加到4个，同时添加了一个Dropout层，继续测试其在Cifar10数据集上的效果。

自适应参数化ReLU的基本原理：

Keras程序：

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 14 04:17:45 2020
Implemented using TensorFlow 1.10.0 and Keras 2.2.1

Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht,
Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis, 
IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2020.2972458,
Date of Publication: 13 February 2020

@author: Minghang Zhao
"""

from __future__ import print_function
import keras
import numpy as np
from keras.datasets import cifar10
from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Minimum, Lambda, Dropout
from keras.layers import AveragePooling2D, Input, GlobalAveragePooling2D, Concatenate, Reshape
from keras.regularizers import l2
from keras import backend as K
from keras.models import Model
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import LearningRateScheduler
K.set_learning_phase(1)

def cal_mean(inputs):
    outputs = K.mean(inputs, axis=1, keepdims=True)
    return outputs

# The data, split between train and test sets
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
x_train = x_train.astype('float32') / 255.
x_test = x_test.astype('float32') / 255.
x_test = x_test-np.mean(x_train)
x_train = x_train-np.mean(x_train)
print('x_train shape:', x_train.shape)
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')

# convert class vectors to binary class matrices
y_train = keras.utils.to_categorical(y_train, 10)
y_test = keras.utils.to_categorical(y_test, 10)

# Schedule the learning rate, multiply 0.1 every 300 epoches
def scheduler(epoch):
    if epoch % 300 == 0 and epoch != 0:
        lr = K.get_value(model.optimizer.lr)
        K.set_value(model.optimizer.lr, lr * 0.1)
        print("lr changed to {}".format(lr * 0.1))
    return K.get_value(model.optimizer.lr)

# An adaptively parametric rectifier linear unit (APReLU)
def aprelu(inputs):
    # get the number of channels
    # channels = inputs.get_shape().as_list()[-1]
    # get a zero feature map
    zeros_input = keras.layers.subtract([inputs, inputs])
    # get a feature map with only positive features
    pos_input = Activation('relu')(inputs)
    # get a feature map with only negative features
    neg_input = Minimum()([inputs,zeros_input])
    # define a network to obtain the scaling coefficients
    scales_p = Lambda(cal_mean)(GlobalAveragePooling2D()(pos_input))
    scales_n = Lambda(cal_mean)(GlobalAveragePooling2D()(neg_input))
    scales = Concatenate()([scales_n, scales_p])
    scales = Dense(4, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
    scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
    scales = Activation('relu')(scales)
    scales = Dropout(0.5)(scales)
    scales = Dense(1, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
    scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
    scales = Activation('sigmoid')(scales)
    scales = Reshape((1,1,1))(scales)
    # apply a paramtetric relu
    neg_part = keras.layers.multiply([scales, neg_input])
    return keras.layers.add([pos_input, neg_part])

# Residual Block
def residual_block(incoming, nb_blocks, out_channels, downsample=False,
                   downsample_strides=2):
    
    residual = incoming
    in_channels = incoming.get_shape().as_list()[-1]
    
    for i in range(nb_blocks):
        
        identity = residual
        
        if not downsample:
            downsample_strides = 1
        
        residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
        residual = aprelu(residual)
        residual = Conv2D(out_channels, 3, strides=(downsample_strides, downsample_strides), 
                          padding='same', kernel_initializer='he_normal', 
                          kernel_regularizer=l2(1e-4))(residual)
        
        residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
        residual = aprelu(residual)
        residual = Conv2D(out_channels, 3, padding='same', kernel_initializer='he_normal', 
                          kernel_regularizer=l2(1e-4))(residual)
        
        # Downsampling
        if downsample_strides > 1:
            identity = AveragePooling2D(pool_size=(1,1), strides=(2,2))(identity)
            
        # Zero_padding to match channels
        if in_channels != out_channels:
            zeros_identity = keras.layers.subtract([identity, identity])
            identity = keras.layers.concatenate([identity, zeros_identity])
            in_channels = out_channels
        
        residual = keras.layers.add([residual, identity])
    
    return residual


# define and train a model
inputs = Input(shape=(32, 32, 3))
net = Conv2D(64, 3, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(inputs)
net = residual_block(net, 20,  64, downsample=False)
net = residual_block(net, 1,  128, downsample=True)
net = residual_block(net, 19, 128, downsample=False)
net = residual_block(net, 1,  256, downsample=True)
net = residual_block(net, 19, 256, downsample=False)
net = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(net)
net = aprelu(net)
net = GlobalAveragePooling2D()(net)
outputs = Dense(10, activation='softmax', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(net)
model = Model(inputs=inputs, outputs=outputs)
sgd = optimizers.SGD(lr=0.1, decay=0., momentum=0.9, nesterov=True)
model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])

# data augmentation
datagen = ImageDataGenerator(
    # randomly rotate images in the range (deg 0 to 180)
    rotation_range=30,
    # Range for random zoom
    zoom_range = 0.2,
    # shear angle in counter-clockwise direction in degrees
    shear_range = 30,
    # randomly flip images
    horizontal_flip=True,
    # randomly shift images horizontally
    width_shift_range=0.125,
    # randomly shift images vertically
    height_shift_range=0.125)

reduce_lr = LearningRateScheduler(scheduler)
# fit the model on the batches generated by datagen.flow().
model.fit_generator(datagen.flow(x_train, y_train, batch_size=100),
                    validation_data=(x_test, y_test), epochs=1000, 
                    verbose=1, callbacks=[reduce_lr], workers=4)

# get results
K.set_learning_phase(0)
DRSN_train_score = model.evaluate(x_train, y_train, batch_size=100, verbose=0)
print('Train loss:', DRSN_train_score[0])
print('Train accuracy:', DRSN_train_score[1])
DRSN_test_score = model.evaluate(x_test, y_test, batch_size=100, verbose=0)
print('Test loss:', DRSN_test_score[0])
print('Test accuracy:', DRSN_test_score[1])

实验结果：

Using TensorFlow backend.
x_train shape: (50000, 32, 32, 3)
50000 train samples
10000 test samples
Epoch 1/1000
420s 840ms/step - loss: 6.8132 - acc: 0.3731 - val_loss: 6.0072 - val_acc: 0.4935
Epoch 2/1000
333s 667ms/step - loss: 5.5637 - acc: 0.5070 - val_loss: 4.9312 - val_acc: 0.5947
Epoch 3/1000
333s 667ms/step - loss: 4.6506 - acc: 0.5734 - val_loss: 4.1140 - val_acc: 0.6551
Epoch 4/1000
333s 667ms/step - loss: 3.9385 - acc: 0.6189 - val_loss: 3.4676 - val_acc: 0.6973
Epoch 5/1000
333s 667ms/step - loss: 3.3667 - acc: 0.6524 - val_loss: 2.9511 - val_acc: 0.7314
Epoch 6/1000
333s 667ms/step - loss: 2.8977 - acc: 0.6816 - val_loss: 2.5364 - val_acc: 0.7556
Epoch 7/1000
334s 667ms/step - loss: 2.5121 - acc: 0.7062 - val_loss: 2.1815 - val_acc: 0.7762
Epoch 8/1000
334s 667ms/step - loss: 2.2071 - acc: 0.7228 - val_loss: 1.8975 - val_acc: 0.7940
Epoch 9/1000
333s 667ms/step - loss: 1.9563 - acc: 0.7382 - val_loss: 1.6740 - val_acc: 0.8045
Epoch 10/1000
333s 667ms/step - loss: 1.7436 - acc: 0.7521 - val_loss: 1.4899 - val_acc: 0.8178
Epoch 11/1000
333s 667ms/step - loss: 1.5743 - acc: 0.7647 - val_loss: 1.3368 - val_acc: 0.8307
Epoch 12/1000
333s 667ms/step - loss: 1.4340 - acc: 0.7721 - val_loss: 1.2230 - val_acc: 0.8355
Epoch 13/1000
334s 667ms/step - loss: 1.3226 - acc: 0.7815 - val_loss: 1.1185 - val_acc: 0.8426
Epoch 14/1000
334s 667ms/step - loss: 1.2300 - acc: 0.7885 - val_loss: 1.0387 - val_acc: 0.8458
Epoch 15/1000
333s 667ms/step - loss: 1.1585 - acc: 0.7961 - val_loss: 1.0022 - val_acc: 0.8457
Epoch 16/1000
334s 667ms/step - loss: 1.0832 - acc: 0.8069 - val_loss: 0.9392 - val_acc: 0.8491
Epoch 17/1000
333s 667ms/step - loss: 1.0364 - acc: 0.8119 - val_loss: 0.8801 - val_acc: 0.8604
Epoch 18/1000
333s 667ms/step - loss: 0.9910 - acc: 0.8164 - val_loss: 0.8453 - val_acc: 0.8661
Epoch 19/1000
333s 666ms/step - loss: 0.9597 - acc: 0.8208 - val_loss: 0.8281 - val_acc: 0.8665
Epoch 20/1000
333s 666ms/step - loss: 0.9316 - acc: 0.8248 - val_loss: 0.7990 - val_acc: 0.8686
Epoch 21/1000
333s 666ms/step - loss: 0.9131 - acc: 0.8259 - val_loss: 0.7708 - val_acc: 0.8773
Epoch 22/1000
333s 666ms/step - loss: 0.8881 - acc: 0.8341 - val_loss: 0.7715 - val_acc: 0.8744
Epoch 23/1000
333s 666ms/step - loss: 0.8734 - acc: 0.8352 - val_loss: 0.7602 - val_acc: 0.8800
Epoch 24/1000
333s 667ms/step - loss: 0.8614 - acc: 0.8374 - val_loss: 0.7653 - val_acc: 0.8762
Epoch 25/1000
333s 666ms/step - loss: 0.8512 - acc: 0.8415 - val_loss: 0.7291 - val_acc: 0.8862
Epoch 26/1000
333s 666ms/step - loss: 0.8386 - acc: 0.8446 - val_loss: 0.7418 - val_acc: 0.8838
Epoch 27/1000
333s 666ms/step - loss: 0.8346 - acc: 0.8471 - val_loss: 0.7217 - val_acc: 0.8891
Epoch 28/1000
334s 668ms/step - loss: 0.8243 - acc: 0.8515 - val_loss: 0.7233 - val_acc: 0.8860
Epoch 29/1000
335s 670ms/step - loss: 0.8208 - acc: 0.8516 - val_loss: 0.7140 - val_acc: 0.8889
Epoch 30/1000
336s 671ms/step - loss: 0.8181 - acc: 0.8540 - val_loss: 0.7033 - val_acc: 0.8956
Epoch 31/1000
335s 669ms/step - loss: 0.8054 - acc: 0.8546 - val_loss: 0.7127 - val_acc: 0.8903
Epoch 32/1000
336s 672ms/step - loss: 0.8017 - acc: 0.8582 - val_loss: 0.7283 - val_acc: 0.8879
Epoch 33/1000
334s 669ms/step - loss: 0.8039 - acc: 0.8604 - val_loss: 0.7117 - val_acc: 0.8904
Epoch 34/1000
332s 663ms/step - loss: 0.8007 - acc: 0.8604 - val_loss: 0.7053 - val_acc: 0.8927
Epoch 35/1000
334s 668ms/step - loss: 0.7940 - acc: 0.8636 - val_loss: 0.7236 - val_acc: 0.8891
Epoch 36/1000
332s 663ms/step - loss: 0.7910 - acc: 0.8634 - val_loss: 0.6960 - val_acc: 0.8989
Epoch 37/1000
334s 669ms/step - loss: 0.7845 - acc: 0.8663 - val_loss: 0.7109 - val_acc: 0.8913
Epoch 38/1000
334s 668ms/step - loss: 0.7870 - acc: 0.8655 - val_loss: 0.7001 - val_acc: 0.8968
Epoch 39/1000
335s 670ms/step - loss: 0.7830 - acc: 0.8680 - val_loss: 0.7081 - val_acc: 0.8951
Epoch 40/1000
335s 670ms/step - loss: 0.7846 - acc: 0.8704 - val_loss: 0.6885 - val_acc: 0.9064
Epoch 41/1000
332s 664ms/step - loss: 0.7823 - acc: 0.8703 - val_loss: 0.6980 - val_acc: 0.9037
Epoch 42/1000
333s 667ms/step - loss: 0.7770 - acc: 0.8712 - val_loss: 0.7001 - val_acc: 0.9009
Epoch 43/1000
333s 665ms/step - loss: 0.7745 - acc: 0.8725 - val_loss: 0.6988 - val_acc: 0.9041
Epoch 44/1000
335s 671ms/step - loss: 0.7789 - acc: 0.8717 - val_loss: 0.6864 - val_acc: 0.9074
Epoch 45/1000
335s 670ms/step - loss: 0.7716 - acc: 0.8760 - val_loss: 0.6904 - val_acc: 0.9069
Epoch 46/1000
334s 669ms/step - loss: 0.7711 - acc: 0.8753 - val_loss: 0.6904 - val_acc: 0.9040
Epoch 47/1000
332s 665ms/step - loss: 0.7680 - acc: 0.8788 - val_loss: 0.7124 - val_acc: 0.9002
Epoch 48/1000
335s 670ms/step - loss: 0.7685 - acc: 0.8784 - val_loss: 0.6935 - val_acc: 0.9093
Epoch 49/1000
335s 670ms/step - loss: 0.7673 - acc: 0.8788 - val_loss: 0.7104 - val_acc: 0.8989
Epoch 50/1000
335s 670ms/step - loss: 0.7675 - acc: 0.8774 - val_loss: 0.7000 - val_acc: 0.9055
Epoch 51/1000
335s 670ms/step - loss: 0.7629 - acc: 0.8819 - val_loss: 0.7205 - val_acc: 0.8998
Epoch 52/1000
333s 666ms/step - loss: 0.7658 - acc: 0.8803 - val_loss: 0.6880 - val_acc: 0.9074
Epoch 53/1000
335s 670ms/step - loss: 0.7699 - acc: 0.8792 - val_loss: 0.7064 - val_acc: 0.9058
Epoch 54/1000
333s 665ms/step - loss: 0.7619 - acc: 0.8832 - val_loss: 0.7095 - val_acc: 0.9044
Epoch 55/1000
335s 670ms/step - loss: 0.7662 - acc: 0.8807 - val_loss: 0.6995 - val_acc: 0.9083
Epoch 56/1000
335s 671ms/step - loss: 0.7618 - acc: 0.8826 - val_loss: 0.7061 - val_acc: 0.9056
Epoch 57/1000
333s 665ms/step - loss: 0.7647 - acc: 0.8826 - val_loss: 0.6994 - val_acc: 0.9077
Epoch 58/1000
334s 668ms/step - loss: 0.7628 - acc: 0.8817 - val_loss: 0.6965 - val_acc: 0.9124
Epoch 59/1000
335s 670ms/step - loss: 0.7628 - acc: 0.8835 - val_loss: 0.7090 - val_acc: 0.9020
Epoch 60/1000
335s 669ms/step - loss: 0.7594 - acc: 0.8835 - val_loss: 0.7074 - val_acc: 0.9051
Epoch 61/1000
335s 669ms/step - loss: 0.7555 - acc: 0.8861 - val_loss: 0.7233 - val_acc: 0.8998
Epoch 62/1000
332s 665ms/step - loss: 0.7617 - acc: 0.8850 - val_loss: 0.6922 - val_acc: 0.9105
Epoch 63/1000
335s 670ms/step - loss: 0.7543 - acc: 0.8872 - val_loss: 0.7026 - val_acc: 0.9055
Epoch 64/1000
335s 671ms/step - loss: 0.7562 - acc: 0.8880 - val_loss: 0.6993 - val_acc: 0.9092
Epoch 65/1000
333s 665ms/step - loss: 0.7572 - acc: 0.8868 - val_loss: 0.6902 - val_acc: 0.9107
Epoch 66/1000
335s 670ms/step - loss: 0.7576 - acc: 0.8858 - val_loss: 0.6948 - val_acc: 0.9098
Epoch 67/1000
335s 670ms/step - loss: 0.7573 - acc: 0.8875 - val_loss: 0.7264 - val_acc: 0.9005
Epoch 68/1000
335s 670ms/step - loss: 0.7501 - acc: 0.8893 - val_loss: 0.7128 - val_acc: 0.9069
Epoch 69/1000
334s 669ms/step - loss: 0.7503 - acc: 0.8908 - val_loss: 0.7080 - val_acc: 0.9072
Epoch 70/1000
335s 670ms/step - loss: 0.7567 - acc: 0.8882 - val_loss: 0.7090 - val_acc: 0.9081
Epoch 71/1000
336s 671ms/step - loss: 0.7518 - acc: 0.8912 - val_loss: 0.7121 - val_acc: 0.9078
Epoch 72/1000
335s 671ms/step - loss: 0.7567 - acc: 0.8878 - val_loss: 0.6910 - val_acc: 0.9122
Epoch 73/1000
336s 671ms/step - loss: 0.7526 - acc: 0.8902 - val_loss: 0.7009 - val_acc: 0.9075
Epoch 74/1000
334s 668ms/step - loss: 0.7504 - acc: 0.8904 - val_loss: 0.7049 - val_acc: 0.9123
Epoch 75/1000
335s 671ms/step - loss: 0.7545 - acc: 0.8906 - val_loss: 0.7087 - val_acc: 0.9066
Epoch 76/1000
334s 669ms/step - loss: 0.7520 - acc: 0.8915 - val_loss: 0.6958 - val_acc: 0.9157
Epoch 77/1000
333s 665ms/step - loss: 0.7544 - acc: 0.8916 - val_loss: 0.7245 - val_acc: 0.9024
Epoch 78/1000
335s 670ms/step - loss: 0.7506 - acc: 0.8920 - val_loss: 0.6929 - val_acc: 0.9160
Epoch 79/1000
333s 665ms/step - loss: 0.7513 - acc: 0.8925 - val_loss: 0.6980 - val_acc: 0.9154
Epoch 80/1000
335s 671ms/step - loss: 0.7469 - acc: 0.8942 - val_loss: 0.7098 - val_acc: 0.9060
Epoch 81/1000
334s 668ms/step - loss: 0.7491 - acc: 0.8936 - val_loss: 0.7170 - val_acc: 0.9069
Epoch 82/1000
334s 668ms/step - loss: 0.7465 - acc: 0.8948 - val_loss: 0.6981 - val_acc: 0.9102
Epoch 83/1000
333s 666ms/step - loss: 0.7525 - acc: 0.8916 - val_loss: 0.7060 - val_acc: 0.9081
Epoch 84/1000
332s 664ms/step - loss: 0.7544 - acc: 0.8923 - val_loss: 0.7120 - val_acc: 0.9071
Epoch 85/1000
333s 667ms/step - loss: 0.7512 - acc: 0.8940 - val_loss: 0.7134 - val_acc: 0.9078
Epoch 86/1000
333s 666ms/step - loss: 0.7501 - acc: 0.8941 - val_loss: 0.7179 - val_acc: 0.9061
Epoch 87/1000
331s 662ms/step - loss: 0.7496 - acc: 0.8962 - val_loss: 0.7140 - val_acc: 0.9099
Epoch 88/1000
335s 670ms/step - loss: 0.7537 - acc: 0.8929 - val_loss: 0.7130 - val_acc: 0.9085
Epoch 89/1000
331s 663ms/step - loss: 0.7462 - acc: 0.8960 - val_loss: 0.7017 - val_acc: 0.9128
Epoch 90/1000
333s 666ms/step - loss: 0.7492 - acc: 0.8959 - val_loss: 0.7027 - val_acc: 0.9134
Epoch 91/1000
334s 667ms/step - loss: 0.7512 - acc: 0.8956 - val_loss: 0.7019 - val_acc: 0.9144
Epoch 92/1000
334s 668ms/step - loss: 0.7490 - acc: 0.8940 - val_loss: 0.6972 - val_acc: 0.9159
Epoch 93/1000
335s 669ms/step - loss: 0.7467 - acc: 0.8962 - val_loss: 0.7061 - val_acc: 0.9133
Epoch 94/1000
334s 669ms/step - loss: 0.7525 - acc: 0.8940 - val_loss: 0.7040 - val_acc: 0.9193
Epoch 95/1000
335s 670ms/step - loss: 0.7500 - acc: 0.8953 - val_loss: 0.7112 - val_acc: 0.9135
Epoch 96/1000
334s 669ms/step - loss: 0.7507 - acc: 0.8958 - val_loss: 0.7082 - val_acc: 0.9136
Epoch 97/1000
331s 663ms/step - loss: 0.7544 - acc: 0.8937 - val_loss: 0.6917 - val_acc: 0.9209
Epoch 98/1000
333s 666ms/step - loss: 0.7503 - acc: 0.8957 - val_loss: 0.7034 - val_acc: 0.9157
Epoch 99/1000
333s 666ms/step - loss: 0.7481 - acc: 0.8991 - val_loss: 0.6955 - val_acc: 0.9170
Epoch 100/1000
331s 663ms/step - loss: 0.7500 - acc: 0.8976 - val_loss: 0.7169 - val_acc: 0.9117
Epoch 101/1000
336s 672ms/step - loss: 0.7507 - acc: 0.8962 - val_loss: 0.7105 - val_acc: 0.9144
Epoch 102/1000
332s 664ms/step - loss: 0.7500 - acc: 0.8973 - val_loss: 0.7293 - val_acc: 0.9084
Epoch 103/1000
332s 663ms/step - loss: 0.7499 - acc: 0.8968 - val_loss: 0.7157 - val_acc: 0.9097
Epoch 104/1000
333s 667ms/step - loss: 0.7498 - acc: 0.8981 - val_loss: 0.7123 - val_acc: 0.9140
Epoch 105/1000
332s 664ms/step - loss: 0.7470 - acc: 0.8979 - val_loss: 0.7110 - val_acc: 0.9158
Epoch 106/1000
333s 667ms/step - loss: 0.7490 - acc: 0.8973 - val_loss: 0.7041 - val_acc: 0.9138
Epoch 107/1000
333s 667ms/step - loss: 0.7441 - acc: 0.9005 - val_loss: 0.7104 - val_acc: 0.9138
Epoch 108/1000
333s 667ms/step - loss: 0.7471 - acc: 0.8983 - val_loss: 0.7144 - val_acc: 0.9122
Epoch 109/1000
331s 662ms/step - loss: 0.7490 - acc: 0.8977 - val_loss: 0.7303 - val_acc: 0.9088
Epoch 110/1000
334s 669ms/step - loss: 0.7562 - acc: 0.8964 - val_loss: 0.7165 - val_acc: 0.9120
Epoch 111/1000
334s 667ms/step - loss: 0.7513 - acc: 0.8975 - val_loss: 0.7135 - val_acc: 0.9135
Epoch 112/1000
334s 668ms/step - loss: 0.7486 - acc: 0.8985 - val_loss: 0.6939 - val_acc: 0.9205
Epoch 113/1000
333s 667ms/step - loss: 0.7461 - acc: 0.9004 - val_loss: 0.7145 - val_acc: 0.9138
Epoch 114/1000
333s 667ms/step - loss: 0.7531 - acc: 0.8983 - val_loss: 0.6912 - val_acc: 0.9223
Epoch 115/1000
333s 666ms/step - loss: 0.7495 - acc: 0.9006 - val_loss: 0.6999 - val_acc: 0.9185
Epoch 116/1000
331s 662ms/step - loss: 0.7448 - acc: 0.9020 - val_loss: 0.6976 - val_acc: 0.9195
Epoch 117/1000
331s 662ms/step - loss: 0.7478 - acc: 0.9004 - val_loss: 0.7065 - val_acc: 0.9167
Epoch 118/1000
331s 662ms/step - loss: 0.7449 - acc: 0.9000 - val_loss: 0.7192 - val_acc: 0.9144
Epoch 119/1000
332s 663ms/step - loss: 0.7495 - acc: 0.8998 - val_loss: 0.7035 - val_acc: 0.9193
Epoch 120/1000
334s 668ms/step - loss: 0.7509 - acc: 0.9000 - val_loss: 0.6992 - val_acc: 0.9185
Epoch 121/1000
334s 669ms/step - loss: 0.7481 - acc: 0.9008 - val_loss: 0.7167 - val_acc: 0.9131
Epoch 122/1000
333s 667ms/step - loss: 0.7475 - acc: 0.9017 - val_loss: 0.7139 - val_acc: 0.9139
Epoch 123/1000
333s 666ms/step - loss: 0.7469 - acc: 0.9022 - val_loss: 0.7039 - val_acc: 0.9207
Epoch 124/1000
333s 667ms/step - loss: 0.7461 - acc: 0.8996 - val_loss: 0.7063 - val_acc: 0.9173
Epoch 125/1000
333s 666ms/step - loss: 0.7512 - acc: 0.8996 - val_loss: 0.7252 - val_acc: 0.9096
Epoch 126/1000
334s 667ms/step - loss: 0.7445 - acc: 0.9021 - val_loss: 0.7025 - val_acc: 0.9192
Epoch 127/1000
333s 667ms/step - loss: 0.7477 - acc: 0.9003 - val_loss: 0.7144 - val_acc: 0.9149
Epoch 128/1000
334s 667ms/step - loss: 0.7502 - acc: 0.9010 - val_loss: 0.6898 - val_acc: 0.9230
Epoch 129/1000
331s 662ms/step - loss: 0.7452 - acc: 0.9018 - val_loss: 0.7180 - val_acc: 0.9127
Epoch 130/1000
334s 668ms/step - loss: 0.7446 - acc: 0.9016 - val_loss: 0.7171 - val_acc: 0.9128
Epoch 131/1000
333s 667ms/step - loss: 0.7439 - acc: 0.9024 - val_loss: 0.7075 - val_acc: 0.9168
Epoch 132/1000
333s 665ms/step - loss: 0.7529 - acc: 0.9001 - val_loss: 0.7142 - val_acc: 0.9149
Epoch 133/1000
334s 668ms/step - loss: 0.7492 - acc: 0.9003 - val_loss: 0.7001 - val_acc: 0.9225
Epoch 134/1000
333s 666ms/step - loss: 0.7552 - acc: 0.8994 - val_loss: 0.7202 - val_acc: 0.9131
Epoch 135/1000
331s 662ms/step - loss: 0.7495 - acc: 0.9014 - val_loss: 0.7095 - val_acc: 0.9210
Epoch 136/1000
331s 662ms/step - loss: 0.7463 - acc: 0.9042 - val_loss: 0.7036 - val_acc: 0.9214
Epoch 137/1000
334s 668ms/step - loss: 0.7528 - acc: 0.9007 - val_loss: 0.7010 - val_acc: 0.9214
Epoch 138/1000
333s 666ms/step - loss: 0.7438 - acc: 0.9036 - val_loss: 0.7063 - val_acc: 0.9167
Epoch 139/1000
334s 667ms/step - loss: 0.7485 - acc: 0.9011 - val_loss: 0.7113 - val_acc: 0.9183
Epoch 140/1000
333s 665ms/step - loss: 0.7489 - acc: 0.9019 - val_loss: 0.7179 - val_acc: 0.9170
Epoch 141/1000
333s 666ms/step - loss: 0.7477 - acc: 0.9022 - val_loss: 0.7348 - val_acc: 0.9082
Epoch 142/1000
334s 668ms/step - loss: 0.7479 - acc: 0.9018 - val_loss: 0.7051 - val_acc: 0.9169
Epoch 143/1000
333s 666ms/step - loss: 0.7495 - acc: 0.9018 - val_loss: 0.7049 - val_acc: 0.9170
Epoch 144/1000
331s 662ms/step - loss: 0.7473 - acc: 0.9027 - val_loss: 0.7069 - val_acc: 0.9186
Epoch 145/1000
333s 666ms/step - loss: 0.7517 - acc: 0.9021 - val_loss: 0.7036 - val_acc: 0.9195
Epoch 146/1000
333s 666ms/step - loss: 0.7488 - acc: 0.9030 - val_loss: 0.7359 - val_acc: 0.9096
Epoch 147/1000
334s 667ms/step - loss: 0.7527 - acc: 0.9025 - val_loss: 0.7170 - val_acc: 0.9164
Epoch 148/1000
333s 666ms/step - loss: 0.7517 - acc: 0.9026 - val_loss: 0.7110 - val_acc: 0.9199
Epoch 149/1000
333s 667ms/step - loss: 0.7412 - acc: 0.9053 - val_loss: 0.7276 - val_acc: 0.9131
Epoch 150/1000
334s 667ms/step - loss: 0.7484 - acc: 0.9038 - val_loss: 0.7253 - val_acc: 0.9174
Epoch 151/1000
331s 663ms/step - loss: 0.7479 - acc: 0.9033 - val_loss: 0.7207 - val_acc: 0.9151
Epoch 152/1000
335s 669ms/step - loss: 0.7531 - acc: 0.9019 - val_loss: 0.7101 - val_acc: 0.9206
Epoch 153/1000
333s 667ms/step - loss: 0.7474 - acc: 0.9029 - val_loss: 0.7101 - val_acc: 0.9185
Epoch 154/1000
333s 667ms/step - loss: 0.7486 - acc: 0.9026 - val_loss: 0.7105 - val_acc: 0.9176
Epoch 155/1000
333s 665ms/step - loss: 0.7469 - acc: 0.9028 - val_loss: 0.7038 - val_acc: 0.9236
Epoch 156/1000
333s 666ms/step - loss: 0.7476 - acc: 0.9045 - val_loss: 0.7268 - val_acc: 0.9160
Epoch 157/1000
331s 662ms/step - loss: 0.7531 - acc: 0.9016 - val_loss: 0.7294 - val_acc: 0.9127
Epoch 158/1000
333s 666ms/step - loss: 0.7541 - acc: 0.9026 - val_loss: 0.7130 - val_acc: 0.9185
Epoch 159/1000
333s 667ms/step - loss: 0.7439 - acc: 0.9039 - val_loss: 0.7324 - val_acc: 0.9123
Epoch 160/1000
334s 667ms/step - loss: 0.7520 - acc: 0.9028 - val_loss: 0.7150 - val_acc: 0.9205
Epoch 161/1000
331s 662ms/step - loss: 0.7494 - acc: 0.9027 - val_loss: 0.7104 - val_acc: 0.9207
Epoch 162/1000
335s 669ms/step - loss: 0.7494 - acc: 0.9041 - val_loss: 0.6982 - val_acc: 0.9227
Epoch 163/1000
334s 667ms/step - loss: 0.7436 - acc: 0.9049 - val_loss: 0.7067 - val_acc: 0.9213
Epoch 164/1000
332s 663ms/step - loss: 0.7461 - acc: 0.9032 - val_loss: 0.7432 - val_acc: 0.9086
Epoch 165/1000
333s 667ms/step - loss: 0.7505 - acc: 0.9030 - val_loss: 0.7172 - val_acc: 0.9167
Epoch 166/1000
333s 667ms/step - loss: 0.7485 - acc: 0.9041 - val_loss: 0.7225 - val_acc: 0.9179
Epoch 167/1000
332s 663ms/step - loss: 0.7489 - acc: 0.9035 - val_loss: 0.7221 - val_acc: 0.9128
Epoch 168/1000
335s 670ms/step - loss: 0.7417 - acc: 0.9048 - val_loss: 0.7208 - val_acc: 0.9179
Epoch 169/1000
334s 668ms/step - loss: 0.7468 - acc: 0.9038 - val_loss: 0.7180 - val_acc: 0.9162
Epoch 170/1000
333s 665ms/step - loss: 0.7493 - acc: 0.9034 - val_loss: 0.7237 - val_acc: 0.9136
Epoch 171/1000
333s 667ms/step - loss: 0.7536 - acc: 0.9021 - val_loss: 0.7173 - val_acc: 0.9166
Epoch 172/1000
333s 666ms/step - loss: 0.7474 - acc: 0.9056 - val_loss: 0.7058 - val_acc: 0.9232
Epoch 173/1000
331s 662ms/step - loss: 0.7462 - acc: 0.9062 - val_loss: 0.7228 - val_acc: 0.9167
Epoch 174/1000
333s 667ms/step - loss: 0.7471 - acc: 0.9040 - val_loss: 0.7173 - val_acc: 0.9159
Epoch 175/1000
333s 667ms/step - loss: 0.7482 - acc: 0.9031 - val_loss: 0.7073 - val_acc: 0.9192
Epoch 176/1000
334s 667ms/step - loss: 0.7458 - acc: 0.9051 - val_loss: 0.7077 - val_acc: 0.9197
Epoch 177/1000
333s 667ms/step - loss: 0.7454 - acc: 0.9049 - val_loss: 0.7181 - val_acc: 0.9171
Epoch 178/1000
334s 667ms/step - loss: 0.7458 - acc: 0.9055 - val_loss: 0.7153 - val_acc: 0.9157
Epoch 179/1000
333s 666ms/step - loss: 0.7526 - acc: 0.9030 - val_loss: 0.7142 - val_acc: 0.9182
Epoch 180/1000
331s 662ms/step - loss: 0.7556 - acc: 0.9041 - val_loss: 0.7174 - val_acc: 0.9190
Epoch 181/1000
334s 667ms/step - loss: 0.7534 - acc: 0.9038 - val_loss: 0.7108 - val_acc: 0.9207
Epoch 182/1000
334s 667ms/step - loss: 0.7544 - acc: 0.9038 - val_loss: 0.7194 - val_acc: 0.9205
Epoch 183/1000
334s 668ms/step - loss: 0.7476 - acc: 0.9066 - val_loss: 0.7123 - val_acc: 0.9179
Epoch 184/1000
331s 663ms/step - loss: 0.7465 - acc: 0.9074 - val_loss: 0.7106 - val_acc: 0.9211
Epoch 185/1000
333s 667ms/step - loss: 0.7441 - acc: 0.9054 - val_loss: 0.7151 - val_acc: 0.9187
Epoch 186/1000
333s 666ms/step - loss: 0.7522 - acc: 0.9030 - val_loss: 0.7048 - val_acc: 0.9218
Epoch 187/1000
334s 667ms/step - loss: 0.7434 - acc: 0.9072 - val_loss: 0.7146 - val_acc: 0.9193
Epoch 188/1000
333s 666ms/step - loss: 0.7512 - acc: 0.9038 - val_loss: 0.7190 - val_acc: 0.9149
Epoch 189/1000
331s 662ms/step - loss: 0.7460 - acc: 0.9057 - val_loss: 0.7311 - val_acc: 0.9104
Epoch 190/1000
334s 667ms/step - loss: 0.7465 - acc: 0.9056 - val_loss: 0.7203 - val_acc: 0.9167
Epoch 191/1000
332s 664ms/step - loss: 0.7506 - acc: 0.9034 - val_loss: 0.7169 - val_acc: 0.9198
Epoch 192/1000
334s 668ms/step - loss: 0.7498 - acc: 0.9051 - val_loss: 0.7306 - val_acc: 0.9122
Epoch 193/1000
333s 667ms/step - loss: 0.7533 - acc: 0.9043 - val_loss: 0.7304 - val_acc: 0.9126
Epoch 194/1000
334s 667ms/step - loss: 0.7484 - acc: 0.9060 - val_loss: 0.7115 - val_acc: 0.9212
Epoch 195/1000
331s 663ms/step - loss: 0.7470 - acc: 0.9060 - val_loss: 0.7341 - val_acc: 0.9137
Epoch 196/1000
333s 666ms/step - loss: 0.7528 - acc: 0.9047 - val_loss: 0.7153 - val_acc: 0.9167
Epoch 197/1000
331s 663ms/step - loss: 0.7496 - acc: 0.9053 - val_loss: 0.7212 - val_acc: 0.9209
Epoch 198/1000
333s 667ms/step - loss: 0.7432 - acc: 0.9075 - val_loss: 0.7239 - val_acc: 0.9133
Epoch 199/1000
334s 668ms/step - loss: 0.7523 - acc: 0.9042 - val_loss: 0.7156 - val_acc: 0.9193
Epoch 200/1000
334s 668ms/step - loss: 0.7510 - acc: 0.9059 - val_loss: 0.7276 - val_acc: 0.9167
Epoch 201/1000
334s 667ms/step - loss: 0.7501 - acc: 0.9055 - val_loss: 0.7193 - val_acc: 0.9181
Epoch 202/1000
333s 665ms/step - loss: 0.7508 - acc: 0.9060 - val_loss: 0.7194 - val_acc: 0.9232
Epoch 203/1000
334s 667ms/step - loss: 0.7500 - acc: 0.9066 - val_loss: 0.7134 - val_acc: 0.9159
Epoch 204/1000
333s 667ms/step - loss: 0.7465 - acc: 0.9066 - val_loss: 0.7346 - val_acc: 0.9159
Epoch 205/1000
333s 665ms/step - loss: 0.7499 - acc: 0.9062 - val_loss: 0.7271 - val_acc: 0.9177
Epoch 206/1000
331s 662ms/step - loss: 0.7443 - acc: 0.9074 - val_loss: 0.7264 - val_acc: 0.9138
Epoch 207/1000
331s 662ms/step - loss: 0.7505 - acc: 0.9057 - val_loss: 0.7218 - val_acc: 0.9189
Epoch 208/1000
335s 670ms/step - loss: 0.7480 - acc: 0.9071 - val_loss: 0.7196 - val_acc: 0.9206
Epoch 209/1000
334s 667ms/step - loss: 0.7442 - acc: 0.9068 - val_loss: 0.7236 - val_acc: 0.9177
Epoch 210/1000
334s 668ms/step - loss: 0.7484 - acc: 0.9064 - val_loss: 0.7263 - val_acc: 0.9175
Epoch 211/1000
333s 665ms/step - loss: 0.7494 - acc: 0.9050 - val_loss: 0.7284 - val_acc: 0.9163
Epoch 212/1000
331s 662ms/step - loss: 0.7502 - acc: 0.9069 - val_loss: 0.7333 - val_acc: 0.9140
Epoch 213/1000
331s 662ms/step - loss: 0.7451 - acc: 0.9083 - val_loss: 0.7249 - val_acc: 0.9181
Epoch 214/1000
333s 666ms/step - loss: 0.7510 - acc: 0.9068 - val_loss: 0.7194 - val_acc: 0.9183
Epoch 215/1000
333s 666ms/step - loss: 0.7493 - acc: 0.9068 - val_loss: 0.7168 - val_acc: 0.9170
Epoch 216/1000
334s 668ms/step - loss: 0.7551 - acc: 0.9044 - val_loss: 0.7268 - val_acc: 0.9184
Epoch 217/1000
333s 666ms/step - loss: 0.7557 - acc: 0.9048 - val_loss: 0.7309 - val_acc: 0.9156
Epoch 218/1000
332s 665ms/step - loss: 0.7492 - acc: 0.9073 - val_loss: 0.7195 - val_acc: 0.9175
Epoch 219/1000
333s 666ms/step - loss: 0.7518 - acc: 0.9068 - val_loss: 0.7191 - val_acc: 0.9174
Epoch 220/1000
333s 667ms/step - loss: 0.7441 - acc: 0.9084 - val_loss: 0.7144 - val_acc: 0.9220
Epoch 221/1000
331s 662ms/step - loss: 0.7502 - acc: 0.9069 - val_loss: 0.7110 - val_acc: 0.9222
Epoch 222/1000
334s 667ms/step - loss: 0.7523 - acc: 0.9055 - val_loss: 0.7281 - val_acc: 0.9135
Epoch 223/1000
333s 667ms/step - loss: 0.7487 - acc: 0.9075 - val_loss: 0.7180 - val_acc: 0.9201
Epoch 224/1000
334s 669ms/step - loss: 0.7442 - acc: 0.9088 - val_loss: 0.7404 - val_acc: 0.9109
Epoch 225/1000
332s 665ms/step - loss: 0.7483 - acc: 0.9061 - val_loss: 0.7032 - val_acc: 0.9232
Epoch 226/1000
334s 668ms/step - loss: 0.7499 - acc: 0.9065 - val_loss: 0.7248 - val_acc: 0.9176
Epoch 227/1000
331s 662ms/step - loss: 0.7505 - acc: 0.9063 - val_loss: 0.7117 - val_acc: 0.9240
Epoch 228/1000
331s 662ms/step - loss: 0.7517 - acc: 0.9062 - val_loss: 0.7087 - val_acc: 0.9234
Epoch 229/1000
333s 665ms/step - loss: 0.7513 - acc: 0.9061 - val_loss: 0.7182 - val_acc: 0.9189
Epoch 230/1000
331s 662ms/step - loss: 0.7522 - acc: 0.9047 - val_loss: 0.7278 - val_acc: 0.9171
Epoch 231/1000
331s 662ms/step - loss: 0.7497 - acc: 0.9083 - val_loss: 0.7226 - val_acc: 0.9190
Epoch 232/1000
331s 662ms/step - loss: 0.7438 - acc: 0.9085 - val_loss: 0.7169 - val_acc: 0.9186
Epoch 233/1000
331s 662ms/step - loss: 0.7447 - acc: 0.9093 - val_loss: 0.7210 - val_acc: 0.9172
Epoch 234/1000
333s 666ms/step - loss: 0.7469 - acc: 0.9067 - val_loss: 0.7462 - val_acc: 0.9110
Epoch 235/1000
333s 666ms/step - loss: 0.7576 - acc: 0.9049 - val_loss: 0.7414 - val_acc: 0.9143
Epoch 236/1000
333s 666ms/step - loss: 0.7519 - acc: 0.9064 - val_loss: 0.7250 - val_acc: 0.9174
Epoch 237/1000
334s 668ms/step - loss: 0.7513 - acc: 0.9072 - val_loss: 0.7224 - val_acc: 0.9195
Epoch 238/1000
333s 666ms/step - loss: 0.7485 - acc: 0.9073 - val_loss: 0.7210 - val_acc: 0.9214
Epoch 239/1000
331s 662ms/step - loss: 0.7523 - acc: 0.9064 - val_loss: 0.7256 - val_acc: 0.9194
Epoch 240/1000
334s 668ms/step - loss: 0.7455 - acc: 0.9080 - val_loss: 0.7096 - val_acc: 0.9225
Epoch 241/1000
331s 662ms/step - loss: 0.7510 - acc: 0.9064 - val_loss: 0.7112 - val_acc: 0.9249
Epoch 242/1000
333s 666ms/step - loss: 0.7471 - acc: 0.9076 - val_loss: 0.7166 - val_acc: 0.9202
Epoch 243/1000
331s 661ms/step - loss: 0.7494 - acc: 0.9072 - val_loss: 0.7310 - val_acc: 0.9185
Epoch 244/1000
333s 667ms/step - loss: 0.7545 - acc: 0.9053 - val_loss: 0.7266 - val_acc: 0.9189
Epoch 245/1000
335s 669ms/step - loss: 0.7462 - acc: 0.9083 - val_loss: 0.7235 - val_acc: 0.9186
Epoch 246/1000
331s 663ms/step - loss: 0.7478 - acc: 0.9071 - val_loss: 0.7331 - val_acc: 0.9158
Epoch 247/1000
332s 664ms/step - loss: 0.7514 - acc: 0.9054 - val_loss: 0.7479 - val_acc: 0.9132
Epoch 248/1000
332s 664ms/step - loss: 0.7550 - acc: 0.9051 - val_loss: 0.7214 - val_acc: 0.9199
Epoch 249/1000
332s 664ms/step - loss: 0.7479 - acc: 0.9081 - val_loss: 0.7197 - val_acc: 0.9199
Epoch 250/1000
333s 666ms/step - loss: 0.7506 - acc: 0.9072 - val_loss: 0.7308 - val_acc: 0.9189
Epoch 251/1000
333s 666ms/step - loss: 0.7543 - acc: 0.9065 - val_loss: 0.7363 - val_acc: 0.9137
Epoch 252/1000
333s 665ms/step - loss: 0.7446 - acc: 0.9084 - val_loss: 0.7101 - val_acc: 0.9252
Epoch 253/1000
334s 669ms/step - loss: 0.7517 - acc: 0.9071 - val_loss: 0.7158 - val_acc: 0.9215
Epoch 254/1000
332s 663ms/step - loss: 0.7485 - acc: 0.9074 - val_loss: 0.7133 - val_acc: 0.9197
Epoch 255/1000
331s 663ms/step - loss: 0.7439 - acc: 0.9080 - val_loss: 0.7334 - val_acc: 0.9161
Epoch 256/1000
334s 667ms/step - loss: 0.7522 - acc: 0.9071 - val_loss: 0.7141 - val_acc: 0.9217
Epoch 257/1000
334s 668ms/step - loss: 0.7501 - acc: 0.9062 - val_loss: 0.7206 - val_acc: 0.9228
Epoch 258/1000
331s 662ms/step - loss: 0.7497 - acc: 0.9081 - val_loss: 0.7295 - val_acc: 0.9196
Epoch 259/1000
333s 665ms/step - loss: 0.7525 - acc: 0.9074 - val_loss: 0.7206 - val_acc: 0.9190
Epoch 260/1000
333s 667ms/step - loss: 0.7517 - acc: 0.9080 - val_loss: 0.7191 - val_acc: 0.9206
Epoch 261/1000
333s 666ms/step - loss: 0.7541 - acc: 0.9057 - val_loss: 0.7254 - val_acc: 0.9206
Epoch 262/1000
331s 661ms/step - loss: 0.7509 - acc: 0.9084 - val_loss: 0.7182 - val_acc: 0.9252
Epoch 263/1000
335s 670ms/step - loss: 0.7491 - acc: 0.9082 - val_loss: 0.7309 - val_acc: 0.9164
Epoch 264/1000
332s 664ms/step - loss: 0.7447 - acc: 0.9104 - val_loss: 0.7369 - val_acc: 0.9126
Epoch 265/1000
334s 669ms/step - loss: 0.7457 - acc: 0.9090 - val_loss: 0.7261 - val_acc: 0.9204
Epoch 266/1000
335s 671ms/step - loss: 0.7453 - acc: 0.9076 - val_loss: 0.7207 - val_acc: 0.9212
Epoch 267/1000
334s 669ms/step - loss: 0.7472 - acc: 0.9083 - val_loss: 0.7257 - val_acc: 0.9198
Epoch 268/1000
334s 667ms/step - loss: 0.7452 - acc: 0.9090 - val_loss: 0.7059 - val_acc: 0.9243
Epoch 269/1000
332s 664ms/step - loss: 0.7561 - acc: 0.9063 - val_loss: 0.7112 - val_acc: 0.9226
Epoch 270/1000
334s 668ms/step - loss: 0.7487 - acc: 0.9071 - val_loss: 0.7246 - val_acc: 0.9183
Epoch 271/1000
334s 668ms/step - loss: 0.7523 - acc: 0.9077 - val_loss: 0.7144 - val_acc: 0.9224
Epoch 272/1000
334s 669ms/step - loss: 0.7489 - acc: 0.9105 - val_loss: 0.7365 - val_acc: 0.9160
Epoch 273/1000
332s 664ms/step - loss: 0.7476 - acc: 0.9084 - val_loss: 0.7252 - val_acc: 0.9179
Epoch 274/1000
335s 670ms/step - loss: 0.7540 - acc: 0.9049 - val_loss: 0.7336 - val_acc: 0.9151
Epoch 275/1000
334s 667ms/step - loss: 0.7481 - acc: 0.9080 - val_loss: 0.7155 - val_acc: 0.9223
Epoch 276/1000
334s 668ms/step - loss: 0.7500 - acc: 0.9079 - val_loss: 0.7216 - val_acc: 0.9183
Epoch 277/1000
335s 669ms/step - loss: 0.7505 - acc: 0.9073 - val_loss: 0.7255 - val_acc: 0.9196
Epoch 278/1000
332s 664ms/step - loss: 0.7508 - acc: 0.9080 - val_loss: 0.7157 - val_acc: 0.9231
Epoch 279/1000
335s 669ms/step - loss: 0.7507 - acc: 0.9074 - val_loss: 0.7272 - val_acc: 0.9175
Epoch 280/1000
335s 670ms/step - loss: 0.7488 - acc: 0.9069 - val_loss: 0.7023 - val_acc: 0.9252
Epoch 281/1000
335s 669ms/step - loss: 0.7467 - acc: 0.9091 - val_loss: 0.7238 - val_acc: 0.9199
Epoch 282/1000
334s 668ms/step - loss: 0.7531 - acc: 0.9061 - val_loss: 0.7420 - val_acc: 0.9113
Epoch 283/1000
334s 668ms/step - loss: 0.7500 - acc: 0.9083 - val_loss: 0.7294 - val_acc: 0.9166
Epoch 284/1000
334s 668ms/step - loss: 0.7507 - acc: 0.9075 - val_loss: 0.7389 - val_acc: 0.9173
Epoch 285/1000
333s 666ms/step - loss: 0.7498 - acc: 0.9099 - val_loss: 0.7236 - val_acc: 0.9224
Epoch 286/1000
332s 664ms/step - loss: 0.7540 - acc: 0.9063 - val_loss: 0.7281 - val_acc: 0.9191
Epoch 287/1000
334s 668ms/step - loss: 0.7442 - acc: 0.9110 - val_loss: 0.7314 - val_acc: 0.9194
Epoch 288/1000
332s 664ms/step - loss: 0.7538 - acc: 0.9059 - val_loss: 0.7274 - val_acc: 0.9211
Epoch 289/1000
335s 670ms/step - loss: 0.7522 - acc: 0.9080 - val_loss: 0.7179 - val_acc: 0.9200
Epoch 290/1000
334s 668ms/step - loss: 0.7506 - acc: 0.9091 - val_loss: 0.7099 - val_acc: 0.9240
Epoch 291/1000
334s 668ms/step - loss: 0.7520 - acc: 0.9074 - val_loss: 0.7426 - val_acc: 0.9152
Epoch 292/1000
334s 668ms/step - loss: 0.7486 - acc: 0.9087 - val_loss: 0.7229 - val_acc: 0.9221
Epoch 293/1000
334s 668ms/step - loss: 0.7537 - acc: 0.9070 - val_loss: 0.7409 - val_acc: 0.9157
Epoch 294/1000
334s 667ms/step - loss: 0.7549 - acc: 0.9068 - val_loss: 0.7365 - val_acc: 0.9167
Epoch 295/1000
332s 664ms/step - loss: 0.7520 - acc: 0.9078 - val_loss: 0.7265 - val_acc: 0.9186
Epoch 296/1000
332s 663ms/step - loss: 0.7542 - acc: 0.9078 - val_loss: 0.7219 - val_acc: 0.9187
Epoch 297/1000
336s 671ms/step - loss: 0.7538 - acc: 0.9076 - val_loss: 0.7297 - val_acc: 0.9201
Epoch 298/1000
333s 665ms/step - loss: 0.7492 - acc: 0.9099 - val_loss: 0.7118 - val_acc: 0.9251
Epoch 299/1000
334s 669ms/step - loss: 0.7511 - acc: 0.9088 - val_loss: 0.7181 - val_acc: 0.9232
Epoch 300/1000
334s 667ms/step - loss: 0.7525 - acc: 0.9084 - val_loss: 0.7298 - val_acc: 0.9202
Epoch 301/1000
lr changed to 0.010000000149011612
334s 668ms/step - loss: 0.6468 - acc: 0.9450 - val_loss: 0.6315 - val_acc: 0.9491
Epoch 302/1000
335s 671ms/step - loss: 0.5879 - acc: 0.9639 - val_loss: 0.6157 - val_acc: 0.9529
Epoch 303/1000
333s 665ms/step - loss: 0.5643 - acc: 0.9690 - val_loss: 0.6061 - val_acc: 0.9528
Epoch 304/1000
335s 670ms/step - loss: 0.5450 - acc: 0.9722 - val_loss: 0.5968 - val_acc: 0.9525
Epoch 305/1000
336s 672ms/step - loss: 0.5290 - acc: 0.9744 - val_loss: 0.5860 - val_acc: 0.9559
Epoch 306/1000
336s 672ms/step - loss: 0.5164 - acc: 0.9766 - val_loss: 0.5746 - val_acc: 0.9556
Epoch 307/1000
334s 667ms/step - loss: 0.5026 - acc: 0.9779 - val_loss: 0.5686 - val_acc: 0.9548
Epoch 308/1000
332s 664ms/step - loss: 0.4952 - acc: 0.9779 - val_loss: 0.5672 - val_acc: 0.9566
Epoch 309/1000
332s 664ms/step - loss: 0.4826 - acc: 0.9799 - val_loss: 0.5587 - val_acc: 0.9563
Epoch 310/1000
332s 664ms/step - loss: 0.4717 - acc: 0.9812 - val_loss: 0.5531 - val_acc: 0.9546
Epoch 311/1000
332s 664ms/step - loss: 0.4622 - acc: 0.9825 - val_loss: 0.5421 - val_acc: 0.9564
Epoch 312/1000
334s 668ms/step - loss: 0.4557 - acc: 0.9813 - val_loss: 0.5400 - val_acc: 0.9541
Epoch 313/1000
333s 667ms/step - loss: 0.4473 - acc: 0.9829 - val_loss: 0.5319 - val_acc: 0.9572
Epoch 314/1000
333s 666ms/step - loss: 0.4363 - acc: 0.9848 - val_loss: 0.5311 - val_acc: 0.9553
Epoch 315/1000
333s 665ms/step - loss: 0.4285 - acc: 0.9844 - val_loss: 0.5253 - val_acc: 0.9545
Epoch 316/1000
334s 668ms/step - loss: 0.4214 - acc: 0.9851 - val_loss: 0.5162 - val_acc: 0.9572
Epoch 317/1000
332s 665ms/step - loss: 0.4124 - acc: 0.9860 - val_loss: 0.5116 - val_acc: 0.9553
Epoch 318/1000
333s 666ms/step - loss: 0.4077 - acc: 0.9858 - val_loss: 0.5074 - val_acc: 0.9548
Epoch 319/1000
335s 671ms/step - loss: 0.3978 - acc: 0.9875 - val_loss: 0.5031 - val_acc: 0.9539
Epoch 320/1000
334s 669ms/step - loss: 0.3944 - acc: 0.9857 - val_loss: 0.4901 - val_acc: 0.9569
Epoch 321/1000
332s 663ms/step - loss: 0.3840 - acc: 0.9883 - val_loss: 0.4926 - val_acc: 0.9554
Epoch 322/1000
333s 667ms/step - loss: 0.3826 - acc: 0.9861 - val_loss: 0.4884 - val_acc: 0.9580
Epoch 323/1000
332s 664ms/step - loss: 0.3751 - acc: 0.9871 - val_loss: 0.4797 - val_acc: 0.9560
Epoch 324/1000
332s 665ms/step - loss: 0.3695 - acc: 0.9878 - val_loss: 0.4787 - val_acc: 0.9554
Epoch 325/1000
333s 665ms/step - loss: 0.3639 - acc: 0.9876 - val_loss: 0.4677 - val_acc: 0.9575
Epoch 326/1000
331s 662ms/step - loss: 0.3563 - acc: 0.9885 - val_loss: 0.4603 - val_acc: 0.9573
Epoch 327/1000
334s 667ms/step - loss: 0.3514 - acc: 0.9886 - val_loss: 0.4573 - val_acc: 0.9569
Epoch 328/1000
333s 667ms/step - loss: 0.3465 - acc: 0.9888 - val_loss: 0.4584 - val_acc: 0.9561
Epoch 329/1000
331s 661ms/step - loss: 0.3449 - acc: 0.9878 - val_loss: 0.4575 - val_acc: 0.9556
Epoch 330/1000
332s 665ms/step - loss: 0.3371 - acc: 0.9889 - val_loss: 0.4506 - val_acc: 0.9575
Epoch 331/1000
333s 665ms/step - loss: 0.3314 - acc: 0.9888 - val_loss: 0.4413 - val_acc: 0.9565
Epoch 332/1000
332s 664ms/step - loss: 0.3275 - acc: 0.9891 - val_loss: 0.4430 - val_acc: 0.9553
Epoch 333/1000
332s 665ms/step - loss: 0.3246 - acc: 0.9884 - val_loss: 0.4350 - val_acc: 0.9560
Epoch 334/1000
334s 667ms/step - loss: 0.3180 - acc: 0.9893 - val_loss: 0.4385 - val_acc: 0.9547
Epoch 335/1000
333s 667ms/step - loss: 0.3179 - acc: 0.9880 - val_loss: 0.4342 - val_acc: 0.9556
Epoch 336/1000
332s 665ms/step - loss: 0.3107 - acc: 0.9897 - val_loss: 0.4227 - val_acc: 0.9578
Epoch 337/1000
332s 664ms/step - loss: 0.3082 - acc: 0.9886 - val_loss: 0.4264 - val_acc: 0.9553
Epoch 338/1000
334s 668ms/step - loss: 0.3031 - acc: 0.9895 - val_loss: 0.4251 - val_acc: 0.9563
Epoch 339/1000
332s 664ms/step - loss: 0.2994 - acc: 0.9899 - val_loss: 0.4240 - val_acc: 0.9542
Epoch 340/1000
334s 668ms/step - loss: 0.2966 - acc: 0.9895 - val_loss: 0.4186 - val_acc: 0.9547
Epoch 341/1000
332s 664ms/step - loss: 0.2945 - acc: 0.9891 - val_loss: 0.4112 - val_acc: 0.9548
Epoch 342/1000
334s 668ms/step - loss: 0.2888 - acc: 0.9904 - val_loss: 0.4151 - val_acc: 0.9532
Epoch 343/1000
335s 670ms/step - loss: 0.2866 - acc: 0.9895 - val_loss: 0.4121 - val_acc: 0.9556
Epoch 344/1000
334s 667ms/step - loss: 0.2835 - acc: 0.9896 - val_loss: 0.4018 - val_acc: 0.9561
Epoch 345/1000
334s 669ms/step - loss: 0.2811 - acc: 0.9892 - val_loss: 0.4020 - val_acc: 0.9547
Epoch 346/1000
332s 665ms/step - loss: 0.2768 - acc: 0.9897 - val_loss: 0.4021 - val_acc: 0.9536
Epoch 347/1000
334s 668ms/step - loss: 0.2755 - acc: 0.9888 - val_loss: 0.4000 - val_acc: 0.9536
Epoch 348/1000
335s 670ms/step - loss: 0.2729 - acc: 0.9889 - val_loss: 0.3904 - val_acc: 0.9571
Epoch 349/1000
333s 665ms/step - loss: 0.2679 - acc: 0.9905 - val_loss: 0.3914 - val_acc: 0.9542
Epoch 350/1000
334s 667ms/step - loss: 0.2672 - acc: 0.9892 - val_loss: 0.3913 - val_acc: 0.9564
Epoch 351/1000
334s 667ms/step - loss: 0.2647 - acc: 0.9890 - val_loss: 0.3941 - val_acc: 0.9546
Epoch 352/1000
332s 664ms/step - loss: 0.2624 - acc: 0.9893 - val_loss: 0.3894 - val_acc: 0.9529
Epoch 353/1000
332s 664ms/step - loss: 0.2581 - acc: 0.9901 - val_loss: 0.3924 - val_acc: 0.9522
Epoch 354/1000
334s 668ms/step - loss: 0.2564 - acc: 0.9897 - val_loss: 0.3930 - val_acc: 0.9518
Epoch 355/1000
333s 666ms/step - loss: 0.2560 - acc: 0.9898 - val_loss: 0.3842 - val_acc: 0.9536
Epoch 356/1000
331s 663ms/step - loss: 0.2569 - acc: 0.9885 - val_loss: 0.3790 - val_acc: 0.9524
Epoch 357/1000
333s 666ms/step - loss: 0.2509 - acc: 0.9895 - val_loss: 0.3791 - val_acc: 0.9548
Epoch 358/1000
333s 667ms/step - loss: 0.2499 - acc: 0.9895 - val_loss: 0.3759 - val_acc: 0.9552
Epoch 359/1000
333s 666ms/step - loss: 0.2519 - acc: 0.9876 - val_loss: 0.3735 - val_acc: 0.9541
Epoch 360/1000
333s 666ms/step - loss: 0.2476 - acc: 0.9884 - val_loss: 0.3767 - val_acc: 0.9516
Epoch 361/1000
331s 661ms/step - loss: 0.2478 - acc: 0.9877 - val_loss: 0.3617 - val_acc: 0.9554
Epoch 362/1000
331s 662ms/step - loss: 0.2410 - acc: 0.9899 - val_loss: 0.3677 - val_acc: 0.9530
Epoch 363/1000
333s 666ms/step - loss: 0.2420 - acc: 0.9887 - val_loss: 0.3678 - val_acc: 0.9524
Epoch 364/1000
334s 669ms/step - loss: 0.2412 - acc: 0.9885 - val_loss: 0.3599 - val_acc: 0.9552
Epoch 365/1000
333s 666ms/step - loss: 0.2382 - acc: 0.9887 - val_loss: 0.3655 - val_acc: 0.9536
Epoch 366/1000
332s 664ms/step - loss: 0.2359 - acc: 0.9892 - val_loss: 0.3612 - val_acc: 0.9543
Epoch 367/1000
332s 663ms/step - loss: 0.2349 - acc: 0.9891 - val_loss: 0.3675 - val_acc: 0.9526
Epoch 368/1000
334s 668ms/step - loss: 0.2315 - acc: 0.9899 - val_loss: 0.3626 - val_acc: 0.9516
Epoch 369/1000
335s 670ms/step - loss: 0.2295 - acc: 0.9902 - val_loss: 0.3695 - val_acc: 0.9526
Epoch 370/1000
333s 667ms/step - loss: 0.2323 - acc: 0.9880 - val_loss: 0.3635 - val_acc: 0.9530
Epoch 371/1000
337s 673ms/step - loss: 0.2310 - acc: 0.9890 - val_loss: 0.3666 - val_acc: 0.9531
Epoch 372/1000
336s 672ms/step - loss: 0.2307 - acc: 0.9881 - val_loss: 0.3628 - val_acc: 0.9515
Epoch 373/1000
331s 663ms/step - loss: 0.2324 - acc: 0.9865 - val_loss: 0.3545 - val_acc: 0.9551
Epoch 374/1000
332s 663ms/step - loss: 0.2304 - acc: 0.9879 - val_loss: 0.3614 - val_acc: 0.9524
Epoch 375/1000
337s 673ms/step - loss: 0.2280 - acc: 0.9876 - val_loss: 0.3659 - val_acc: 0.9521
Epoch 376/1000
332s 664ms/step - loss: 0.2246 - acc: 0.9884 - val_loss: 0.3631 - val_acc: 0.9504
Epoch 377/1000
332s 664ms/step - loss: 0.2285 - acc: 0.9870 - val_loss: 0.3560 - val_acc: 0.9500
Epoch 378/1000
334s 668ms/step - loss: 0.2249 - acc: 0.9881 - val_loss: 0.3534 - val_acc: 0.9539
Epoch 379/1000
332s 664ms/step - loss: 0.2254 - acc: 0.9874 - val_loss: 0.3515 - val_acc: 0.9532
Epoch 380/1000
333s 666ms/step - loss: 0.2238 - acc: 0.9876 - val_loss: 0.3566 - val_acc: 0.9515
Epoch 381/1000
331s 662ms/step - loss: 0.2211 - acc: 0.9883 - val_loss: 0.3486 - val_acc: 0.9512
Epoch 382/1000
334s 668ms/step - loss: 0.2210 - acc: 0.9881 - val_loss: 0.3428 - val_acc: 0.9529
Epoch 383/1000
333s 667ms/step - loss: 0.2231 - acc: 0.9877 - val_loss: 0.3499 - val_acc: 0.9523
Epoch 384/1000
333s 666ms/step - loss: 0.2217 - acc: 0.9869 - val_loss: 0.3533 - val_acc: 0.9499
Epoch 385/1000
335s 669ms/step - loss: 0.2192 - acc: 0.9874 - val_loss: 0.3467 - val_acc: 0.9515
Epoch 386/1000
335s 670ms/step - loss: 0.2232 - acc: 0.9864 - val_loss: 0.3620 - val_acc: 0.9484
Epoch 387/1000
332s 664ms/step - loss: 0.2190 - acc: 0.9879 - val_loss: 0.3453 - val_acc: 0.9552
Epoch 388/1000
334s 669ms/step - loss: 0.2168 - acc: 0.9883 - val_loss: 0.3479 - val_acc: 0.9548
Epoch 389/1000
332s 664ms/step - loss: 0.2193 - acc: 0.9868 - val_loss: 0.3412 - val_acc: 0.9528
Epoch 390/1000
332s 664ms/step - loss: 0.2194 - acc: 0.9867 - val_loss: 0.3517 - val_acc: 0.9510
Epoch 391/1000
334s 669ms/step - loss: 0.2178 - acc: 0.9874 - val_loss: 0.3471 - val_acc: 0.9527
Epoch 392/1000
335s 670ms/step - loss: 0.2184 - acc: 0.9870 - val_loss: 0.3625 - val_acc: 0.9473
Epoch 393/1000
336s 671ms/step - loss: 0.2185 - acc: 0.9867 - val_loss: 0.3556 - val_acc: 0.9502
Epoch 394/1000
334s 669ms/step - loss: 0.2194 - acc: 0.9865 - val_loss: 0.3483 - val_acc: 0.9509
Epoch 395/1000
334s 668ms/step - loss: 0.2165 - acc: 0.9874 - val_loss: 0.3424 - val_acc: 0.9527
Epoch 396/1000
332s 664ms/step - loss: 0.2169 - acc: 0.9863 - val_loss: 0.3566 - val_acc: 0.9481
Epoch 397/1000
333s 667ms/step - loss: 0.2156 - acc: 0.9871 - val_loss: 0.3453 - val_acc: 0.9500
Epoch 398/1000
334s 669ms/step - loss: 0.2143 - acc: 0.9871 - val_loss: 0.3513 - val_acc: 0.9515
Epoch 399/1000
332s 663ms/step - loss: 0.2112 - acc: 0.9879 - val_loss: 0.3591 - val_acc: 0.9471
Epoch 400/1000
335s 670ms/step - loss: 0.2155 - acc: 0.9864 - val_loss: 0.3387 - val_acc: 0.9502
Epoch 401/1000
334s 669ms/step - loss: 0.2146 - acc: 0.9866 - val_loss: 0.3470 - val_acc: 0.9494
Epoch 402/1000
335s 671ms/step - loss: 0.2167 - acc: 0.9862 - val_loss: 0.3562 - val_acc: 0.9465
Epoch 403/1000
333s 666ms/step - loss: 0.2152 - acc: 0.9863 - val_loss: 0.3537 - val_acc: 0.9488
Epoch 404/1000
332s 663ms/step - loss: 0.2136 - acc: 0.9869 - val_loss: 0.3479 - val_acc: 0.9512
Epoch 405/1000
332s 664ms/step - loss: 0.2151 - acc: 0.9862 - val_loss: 0.3419 - val_acc: 0.9516
Epoch 406/1000
333s 666ms/step - loss: 0.2119 - acc: 0.9878 - val_loss: 0.3405 - val_acc: 0.9523
Epoch 407/1000
334s 669ms/step - loss: 0.2131 - acc: 0.9866 - val_loss: 0.3437 - val_acc: 0.9503
Epoch 408/1000
332s 664ms/step - loss: 0.2113 - acc: 0.9872 - val_loss: 0.3512 - val_acc: 0.9496
Epoch 409/1000
334s 668ms/step - loss: 0.2107 - acc: 0.9875 - val_loss: 0.3422 - val_acc: 0.9514
Epoch 410/1000
334s 669ms/step - loss: 0.2131 - acc: 0.9864 - val_loss: 0.3516 - val_acc: 0.9481
Epoch 411/1000
334s 668ms/step - loss: 0.2131 - acc: 0.9865 - val_loss: 0.3439 - val_acc: 0.9496
Epoch 412/1000
334s 668ms/step - loss: 0.2103 - acc: 0.9875 - val_loss: 0.3533 - val_acc: 0.9476
Epoch 413/1000
333s 665ms/step - loss: 0.2104 - acc: 0.9868 - val_loss: 0.3499 - val_acc: 0.9477
Epoch 414/1000
336s 672ms/step - loss: 0.2107 - acc: 0.9868 - val_loss: 0.3457 - val_acc: 0.9482
Epoch 415/1000
331s 663ms/step - loss: 0.2110 - acc: 0.9867 - val_loss: 0.3487 - val_acc: 0.9472
Epoch 416/1000
333s 667ms/step - loss: 0.2116 - acc: 0.9863 - val_loss: 0.3447 - val_acc: 0.9497
Epoch 417/1000
331s 661ms/step - loss: 0.2129 - acc: 0.9858 - val_loss: 0.3505 - val_acc: 0.9465
Epoch 418/1000
331s 662ms/step - loss: 0.2129 - acc: 0.9859 - val_loss: 0.3571 - val_acc: 0.9501
Epoch 419/1000
332s 664ms/step - loss: 0.2104 - acc: 0.9875 - val_loss: 0.3336 - val_acc: 0.9524
Epoch 420/1000
333s 665ms/step - loss: 0.2127 - acc: 0.9860 - val_loss: 0.3417 - val_acc: 0.9493
Epoch 421/1000
333s 665ms/step - loss: 0.2059 - acc: 0.9880 - val_loss: 0.3534 - val_acc: 0.9485
Epoch 422/1000
333s 665ms/step - loss: 0.2122 - acc: 0.9857 - val_loss: 0.3512 - val_acc: 0.9474
Epoch 423/1000
333s 667ms/step - loss: 0.2137 - acc: 0.9850 - val_loss: 0.3417 - val_acc: 0.9504
Epoch 424/1000
331s 662ms/step - loss: 0.2101 - acc: 0.9867 - val_loss: 0.3348 - val_acc: 0.9499
Epoch 425/1000
333s 667ms/step - loss: 0.2105 - acc: 0.9863 - val_loss: 0.3466 - val_acc: 0.9488
Epoch 426/1000
333s 666ms/step - loss: 0.2157 - acc: 0.9847 - val_loss: 0.3378 - val_acc: 0.9518
Epoch 427/1000
331s 662ms/step - loss: 0.2094 - acc: 0.9867 - val_loss: 0.3393 - val_acc: 0.9505
Epoch 428/1000
332s 664ms/step - loss: 0.2087 - acc: 0.9875 - val_loss: 0.3339 - val_acc: 0.9525
Epoch 429/1000
331s 662ms/step - loss: 0.2091 - acc: 0.9862 - val_loss: 0.3400 - val_acc: 0.9490
Epoch 430/1000
333s 667ms/step - loss: 0.2097 - acc: 0.9861 - val_loss: 0.3406 - val_acc: 0.9487
Epoch 431/1000
331s 662ms/step - loss: 0.2105 - acc: 0.9862 - val_loss: 0.3496 - val_acc: 0.9474
Epoch 432/1000
334s 668ms/step - loss: 0.2104 - acc: 0.9866 - val_loss: 0.3336 - val_acc: 0.9499
Epoch 433/1000
331s 662ms/step - loss: 0.2056 - acc: 0.9878 - val_loss: 0.3495 - val_acc: 0.9498
Epoch 434/1000
333s 665ms/step - loss: 0.2055 - acc: 0.9877 - val_loss: 0.3408 - val_acc: 0.9497
Epoch 435/1000
332s 664ms/step - loss: 0.2061 - acc: 0.9875 - val_loss: 0.3293 - val_acc: 0.9540
Epoch 436/1000
333s 665ms/step - loss: 0.2079 - acc: 0.9868 - val_loss: 0.3411 - val_acc: 0.9510
Epoch 437/1000
333s 666ms/step - loss: 0.2093 - acc: 0.9865 - val_loss: 0.3349 - val_acc: 0.9508
Epoch 438/1000
333s 666ms/step - loss: 0.2111 - acc: 0.9857 - val_loss: 0.3357 - val_acc: 0.9507
Epoch 439/1000
333s 666ms/step - loss: 0.2087 - acc: 0.9870 - val_loss: 0.3355 - val_acc: 0.9522
Epoch 440/1000
331s 662ms/step - loss: 0.2102 - acc: 0.9864 - val_loss: 0.3415 - val_acc: 0.9490
Epoch 441/1000
333s 666ms/step - loss: 0.2096 - acc: 0.9864 - val_loss: 0.3405 - val_acc: 0.9512
Epoch 442/1000
333s 666ms/step - loss: 0.2111 - acc: 0.9857 - val_loss: 0.3318 - val_acc: 0.9509
Epoch 443/1000
333s 665ms/step - loss: 0.2057 - acc: 0.9879 - val_loss: 0.3467 - val_acc: 0.9472
Epoch 444/1000
333s 665ms/step - loss: 0.2072 - acc: 0.9870 - val_loss: 0.3480 - val_acc: 0.9461
Epoch 445/1000
332s 664ms/step - loss: 0.2070 - acc: 0.9869 - val_loss: 0.3475 - val_acc: 0.9463
Epoch 446/1000
334s 667ms/step - loss: 0.2083 - acc: 0.9868 - val_loss: 0.3326 - val_acc: 0.9516
Epoch 447/1000
333s 666ms/step - loss: 0.2071 - acc: 0.9867 - val_loss: 0.3337 - val_acc: 0.9493
Epoch 448/1000
333s 667ms/step - loss: 0.2065 - acc: 0.9871 - val_loss: 0.3472 - val_acc: 0.9506
Epoch 449/1000
331s 662ms/step - loss: 0.2086 - acc: 0.9866 - val_loss: 0.3367 - val_acc: 0.9515
Epoch 450/1000
333s 666ms/step - loss: 0.2033 - acc: 0.9877 - val_loss: 0.3419 - val_acc: 0.9490
Epoch 451/1000
333s 666ms/step - loss: 0.2086 - acc: 0.9864 - val_loss: 0.3554 - val_acc: 0.9468
Epoch 452/1000
333s 666ms/step - loss: 0.2065 - acc: 0.9871 - val_loss: 0.3496 - val_acc: 0.9476
Epoch 453/1000
332s 664ms/step - loss: 0.2054 - acc: 0.9871 - val_loss: 0.3344 - val_acc: 0.9527
Epoch 454/1000
332s 665ms/step - loss: 0.2061 - acc: 0.9871 - val_loss: 0.3353 - val_acc: 0.9507
Epoch 455/1000
333s 666ms/step - loss: 0.2092 - acc: 0.9857 - val_loss: 0.3389 - val_acc: 0.9480
Epoch 456/1000
333s 666ms/step - loss: 0.2055 - acc: 0.9871 - val_loss: 0.3429 - val_acc: 0.9503
Epoch 457/1000
333s 667ms/step - loss: 0.2079 - acc: 0.9868 - val_loss: 0.3471 - val_acc: 0.9471
Epoch 458/1000
333s 665ms/step - loss: 0.2056 - acc: 0.9871 - val_loss: 0.3348 - val_acc: 0.9518
Epoch 459/1000
334s 668ms/step - loss: 0.2085 - acc: 0.9861 - val_loss: 0.3499 - val_acc: 0.9470
Epoch 460/1000
333s 666ms/step - loss: 0.2037 - acc: 0.9886 - val_loss: 0.3405 - val_acc: 0.9531
Epoch 461/1000
332s 664ms/step - loss: 0.2032 - acc: 0.9879 - val_loss: 0.3497 - val_acc: 0.9503
Epoch 462/1000
334s 667ms/step - loss: 0.2069 - acc: 0.9864 - val_loss: 0.3534 - val_acc: 0.9478
Epoch 463/1000
333s 667ms/step - loss: 0.2061 - acc: 0.9869 - val_loss: 0.3414 - val_acc: 0.9505
Epoch 464/1000
334s 667ms/step - loss: 0.2052 - acc: 0.9868 - val_loss: 0.3439 - val_acc: 0.9471
Epoch 465/1000
334s 667ms/step - loss: 0.2078 - acc: 0.9859 - val_loss: 0.3498 - val_acc: 0.9480
Epoch 466/1000
333s 667ms/step - loss: 0.2077 - acc: 0.9864 - val_loss: 0.3392 - val_acc: 0.9492
Epoch 467/1000
332s 665ms/step - loss: 0.2055 - acc: 0.9873 - val_loss: 0.3393 - val_acc: 0.9500
Epoch 468/1000
331s 662ms/step - loss: 0.2033 - acc: 0.9877 - val_loss: 0.3513 - val_acc: 0.9478
Epoch 469/1000
332s 664ms/step - loss: 0.2078 - acc: 0.9858 - val_loss: 0.3448 - val_acc: 0.9478
Epoch 470/1000
331s 662ms/step - loss: 0.2038 - acc: 0.9870 - val_loss: 0.3478 - val_acc: 0.9460
Epoch 471/1000
333s 666ms/step - loss: 0.2042 - acc: 0.9871 - val_loss: 0.3501 - val_acc: 0.9472
Epoch 472/1000
333s 666ms/step - loss: 0.2049 - acc: 0.9872 - val_loss: 0.3460 - val_acc: 0.9508
Epoch 473/1000
333s 667ms/step - loss: 0.2051 - acc: 0.9876 - val_loss: 0.3480 - val_acc: 0.9474
Epoch 474/1000
334s 667ms/step - loss: 0.2064 - acc: 0.9865 - val_loss: 0.3475 - val_acc: 0.9482
Epoch 475/1000
333s 667ms/step - loss: 0.2071 - acc: 0.9867 - val_loss: 0.3385 - val_acc: 0.9503
Epoch 476/1000
333s 665ms/step - loss: 0.2071 - acc: 0.9864 - val_loss: 0.3456 - val_acc: 0.9467
Epoch 477/1000
333s 666ms/step - loss: 0.2048 - acc: 0.9872 - val_loss: 0.3560 - val_acc: 0.9468
Epoch 478/1000
333s 666ms/step - loss: 0.2055 - acc: 0.9867 - val_loss: 0.3461 - val_acc: 0.9479
Epoch 479/1000
331s 662ms/step - loss: 0.2060 - acc: 0.9864 - val_loss: 0.3573 - val_acc: 0.9479
Epoch 480/1000
334s 667ms/step - loss: 0.2080 - acc: 0.9856 - val_loss: 0.3546 - val_acc: 0.9476
Epoch 481/1000
335s 670ms/step - loss: 0.2060 - acc: 0.9865 - val_loss: 0.3483 - val_acc: 0.9461
Epoch 482/1000
333s 667ms/step - loss: 0.2091 - acc: 0.9861 - val_loss: 0.3578 - val_acc: 0.9459
Epoch 483/1000
333s 665ms/step - loss: 0.2023 - acc: 0.9880 - val_loss: 0.3495 - val_acc: 0.9485
Epoch 484/1000
331s 662ms/step - loss: 0.2026 - acc: 0.9883 - val_loss: 0.3651 - val_acc: 0.9426
Epoch 485/1000
332s 665ms/step - loss: 0.2080 - acc: 0.9861 - val_loss: 0.3383 - val_acc: 0.9501
Epoch 486/1000
331s 661ms/step - loss: 0.2058 - acc: 0.9871 - val_loss: 0.3502 - val_acc: 0.9454
Epoch 487/1000
331s 662ms/step - loss: 0.2038 - acc: 0.9875 - val_loss: 0.3429 - val_acc: 0.9499
Epoch 488/1000
334s 668ms/step - loss: 0.2032 - acc: 0.9880 - val_loss: 0.3419 - val_acc: 0.9497
Epoch 489/1000
334s 667ms/step - loss: 0.2032 - acc: 0.9876 - val_loss: 0.3470 - val_acc: 0.9491
Epoch 490/1000
333s 666ms/step - loss: 0.1988 - acc: 0.9893 - val_loss: 0.3564 - val_acc: 0.9474
Epoch 491/1000
331s 661ms/step - loss: 0.2060 - acc: 0.9867 - val_loss: 0.3514 - val_acc: 0.9470
Epoch 492/1000
333s 665ms/step - loss: 0.2037 - acc: 0.9875 - val_loss: 0.3459 - val_acc: 0.9483
Epoch 493/1000
333s 666ms/step - loss: 0.2037 - acc: 0.9873 - val_loss: 0.3533 - val_acc: 0.9441
Epoch 494/1000
333s 666ms/step - loss: 0.2022 - acc: 0.9874 - val_loss: 0.3542 - val_acc: 0.9464
Epoch 495/1000
333s 666ms/step - loss: 0.2025 - acc: 0.9876 - val_loss: 0.3543 - val_acc: 0.9488
Epoch 496/1000
333s 666ms/step - loss: 0.2032 - acc: 0.9877 - val_loss: 0.3479 - val_acc: 0.9491
Epoch 497/1000
331s 662ms/step - loss: 0.2030 - acc: 0.9873 - val_loss: 0.3637 - val_acc: 0.9436
Epoch 498/1000
334s 667ms/step - loss: 0.2091 - acc: 0.9855 - val_loss: 0.3504 - val_acc: 0.9472
Epoch 499/1000
333s 666ms/step - loss: 0.2052 - acc: 0.9867 - val_loss: 0.3471 - val_acc: 0.9473
Epoch 500/1000
333s 666ms/step - loss: 0.2037 - acc: 0.9872 - val_loss: 0.3489 - val_acc: 0.9475
Epoch 501/1000
332s 665ms/step - loss: 0.2041 - acc: 0.9873 - val_loss: 0.3471 - val_acc: 0.9470
Epoch 502/1000
331s 662ms/step - loss: 0.2030 - acc: 0.9876 - val_loss: 0.3519 - val_acc: 0.9464
Epoch 503/1000
333s 667ms/step - loss: 0.2025 - acc: 0.9876 - val_loss: 0.3437 - val_acc: 0.9506
Epoch 504/1000
334s 667ms/step - loss: 0.2052 - acc: 0.9870 - val_loss: 0.3446 - val_acc: 0.9486
Epoch 505/1000
334s 668ms/step - loss: 0.2014 - acc: 0.9881 - val_loss: 0.3401 - val_acc: 0.9484
Epoch 506/1000
332s 665ms/step - loss: 0.2036 - acc: 0.9871 - val_loss: 0.3401 - val_acc: 0.9489
Epoch 507/1000
331s 662ms/step - loss: 0.2053 - acc: 0.9864 - val_loss: 0.3610 - val_acc: 0.9451
Epoch 508/1000
333s 665ms/step - loss: 0.2022 - acc: 0.9881 - val_loss: 0.3470 - val_acc: 0.9502
Epoch 509/1000
332s 664ms/step - loss: 0.2003 - acc: 0.9877 - val_loss: 0.3563 - val_acc: 0.9451
Epoch 510/1000
334s 667ms/step - loss: 0.2020 - acc: 0.9879 - val_loss: 0.3593 - val_acc: 0.9443
Epoch 511/1000
333s 667ms/step - loss: 0.1990 - acc: 0.9883 - val_loss: 0.3453 - val_acc: 0.9486
Epoch 512/1000
331s 662ms/step - loss: 0.2030 - acc: 0.9876 - val_loss: 0.3531 - val_acc: 0.9471
Epoch 513/1000
334s 667ms/step - loss: 0.2042 - acc: 0.9866 - val_loss: 0.3438 - val_acc: 0.9471
Epoch 514/1000
334s 668ms/step - loss: 0.2025 - acc: 0.9873 - val_loss: 0.3498 - val_acc: 0.9474
Epoch 515/1000
333s 665ms/step - loss: 0.2047 - acc: 0.9868 - val_loss: 0.3459 - val_acc: 0.9478
Epoch 516/1000
333s 666ms/step - loss: 0.2012 - acc: 0.9880 - val_loss: 0.3451 - val_acc: 0.9514
Epoch 517/1000
332s 665ms/step - loss: 0.2012 - acc: 0.9878 - val_loss: 0.3427 - val_acc: 0.9489
Epoch 518/1000
331s 662ms/step - loss: 0.2052 - acc: 0.9869 - val_loss: 0.3495 - val_acc: 0.9463
Epoch 519/1000
334s 667ms/step - loss: 0.2016 - acc: 0.9878 - val_loss: 0.3410 - val_acc: 0.9490
Epoch 520/1000
333s 666ms/step - loss: 0.2014 - acc: 0.9879 - val_loss: 0.3430 - val_acc: 0.9499
Epoch 521/1000
331s 662ms/step - loss: 0.2031 - acc: 0.9875 - val_loss: 0.3552 - val_acc: 0.9478
Epoch 522/1000
333s 667ms/step - loss: 0.2021 - acc: 0.9878 - val_loss: 0.3410 - val_acc: 0.9500
Epoch 523/1000
331s 661ms/step - loss: 0.2010 - acc: 0.9874 - val_loss: 0.3562 - val_acc: 0.9424
Epoch 524/1000
333s 666ms/step - loss: 0.2016 - acc: 0.9876 - val_loss: 0.3415 - val_acc: 0.9479
Epoch 525/1000
332s 665ms/step - loss: 0.2032 - acc: 0.9875 - val_loss: 0.3434 - val_acc: 0.9481
Epoch 526/1000
332s 664ms/step - loss: 0.2001 - acc: 0.9883 - val_loss: 0.3541 - val_acc: 0.9484
Epoch 527/1000
333s 666ms/step - loss: 0.1988 - acc: 0.9885 - val_loss: 0.3558 - val_acc: 0.9468
Epoch 528/1000
334s 668ms/step - loss: 0.2016 - acc: 0.9876 - val_loss: 0.3564 - val_acc: 0.9453
Epoch 529/1000
331s 663ms/step - loss: 0.2020 - acc: 0.9875 - val_loss: 0.3499 - val_acc: 0.9488
Epoch 530/1000
333s 666ms/step - loss: 0.2006 - acc: 0.9880 - val_loss: 0.3504 - val_acc: 0.9469
Epoch 531/1000
333s 665ms/step - loss: 0.2033 - acc: 0.9871 - val_loss: 0.3626 - val_acc: 0.9418
Epoch 532/1000
336s 671ms/step - loss: 0.2005 - acc: 0.9882 - val_loss: 0.3369 - val_acc: 0.9497
Epoch 533/1000
335s 671ms/step - loss: 0.1985 - acc: 0.9881 - val_loss: 0.3364 - val_acc: 0.9508
Epoch 534/1000
332s 664ms/step - loss: 0.2016 - acc: 0.9875 - val_loss: 0.3434 - val_acc: 0.9471
Epoch 535/1000
351s 703ms/step - loss: 0.2017 - acc: 0.9879 - val_loss: 0.3479 - val_acc: 0.9466
Epoch 536/1000
335s 670ms/step - loss: 0.2023 - acc: 0.9873 - val_loss: 0.3519 - val_acc: 0.9437
Epoch 537/1000
332s 665ms/step - loss: 0.2045 - acc: 0.9869 - val_loss: 0.3490 - val_acc: 0.9484
Epoch 538/1000
334s 668ms/step - loss: 0.2018 - acc: 0.9872 - val_loss: 0.3498 - val_acc: 0.9491
Epoch 539/1000
334s 669ms/step - loss: 0.2011 - acc: 0.9876 - val_loss: 0.3505 - val_acc: 0.9477
Epoch 540/1000
332s 664ms/step - loss: 0.1989 - acc: 0.9885 - val_loss: 0.3312 - val_acc: 0.9518
Epoch 541/1000
334s 667ms/step - loss: 0.1997 - acc: 0.9879 - val_loss: 0.3516 - val_acc: 0.9455
Epoch 542/1000
334s 669ms/step - loss: 0.1971 - acc: 0.9884 - val_loss: 0.3504 - val_acc: 0.9450
Epoch 543/1000
334s 667ms/step - loss: 0.2008 - acc: 0.9878 - val_loss: 0.3442 - val_acc: 0.9492
Epoch 544/1000
334s 668ms/step - loss: 0.2022 - acc: 0.9868 - val_loss: 0.3500 - val_acc: 0.9481
Epoch 545/1000
334s 669ms/step - loss: 0.1997 - acc: 0.9881 - val_loss: 0.3489 - val_acc: 0.9481
Epoch 546/1000
332s 664ms/step - loss: 0.2054 - acc: 0.9862 - val_loss: 0.3509 - val_acc: 0.9452
Epoch 547/1000
332s 664ms/step - loss: 0.1990 - acc: 0.9885 - val_loss: 0.3420 - val_acc: 0.9472
Epoch 548/1000
334s 668ms/step - loss: 0.2038 - acc: 0.9867 - val_loss: 0.3459 - val_acc: 0.9471
Epoch 549/1000
333s 667ms/step - loss: 0.2003 - acc: 0.9884 - val_loss: 0.3459 - val_acc: 0.9469
Epoch 550/1000
332s 664ms/step - loss: 0.2043 - acc: 0.9866 - val_loss: 0.3426 - val_acc: 0.9475
Epoch 551/1000
334s 669ms/step - loss: 0.2023 - acc: 0.9868 - val_loss: 0.3373 - val_acc: 0.9511
Epoch 552/1000
334s 669ms/step - loss: 0.2000 - acc: 0.9877 - val_loss: 0.3433 - val_acc: 0.9487
Epoch 553/1000
334s 668ms/step - loss: 0.2012 - acc: 0.9874 - val_loss: 0.3429 - val_acc: 0.9506
Epoch 554/1000
334s 667ms/step - loss: 0.2013 - acc: 0.9879 - val_loss: 0.3436 - val_acc: 0.9501
Epoch 555/1000
334s 667ms/step - loss: 0.2020 - acc: 0.9874 - val_loss: 0.3453 - val_acc: 0.9493
Epoch 556/1000
334s 668ms/step - loss: 0.2041 - acc: 0.9867 - val_loss: 0.3392 - val_acc: 0.9470
Epoch 557/1000
332s 663ms/step - loss: 0.1997 - acc: 0.9882 - val_loss: 0.3546 - val_acc: 0.9440
Epoch 558/1000
334s 669ms/step - loss: 0.2009 - acc: 0.9880 - val_loss: 0.3463 - val_acc: 0.9488
Epoch 559/1000
332s 664ms/step - loss: 0.1992 - acc: 0.9884 - val_loss: 0.3502 - val_acc: 0.9489
Epoch 560/1000
334s 669ms/step - loss: 0.1998 - acc: 0.9879 - val_loss: 0.3424 - val_acc: 0.9492
Epoch 561/1000
334s 669ms/step - loss: 0.2062 - acc: 0.9861 - val_loss: 0.3426 - val_acc: 0.9500
Epoch 562/1000
334s 668ms/step - loss: 0.2004 - acc: 0.9879 - val_loss: 0.3499 - val_acc: 0.9462
Epoch 563/1000
332s 664ms/step - loss: 0.1960 - acc: 0.9896 - val_loss: 0.3484 - val_acc: 0.9465
Epoch 564/1000
334s 667ms/step - loss: 0.1985 - acc: 0.9882 - val_loss: 0.3314 - val_acc: 0.9493
Epoch 565/1000
334s 668ms/step - loss: 0.1991 - acc: 0.9880 - val_loss: 0.3419 - val_acc: 0.9481
Epoch 566/1000
332s 663ms/step - loss: 0.2012 - acc: 0.9878 - val_loss: 0.3443 - val_acc: 0.9483
Epoch 567/1000
335s 670ms/step - loss: 0.1986 - acc: 0.9884 - val_loss: 0.3447 - val_acc: 0.9484
Epoch 568/1000
333s 667ms/step - loss: 0.1997 - acc: 0.9876 - val_loss: 0.3540 - val_acc: 0.9459
Epoch 569/1000
332s 664ms/step - loss: 0.1960 - acc: 0.9896 - val_loss: 0.3463 - val_acc: 0.9479
Epoch 570/1000
334s 668ms/step - loss: 0.2011 - acc: 0.9876 - val_loss: 0.3584 - val_acc: 0.9435
Epoch 571/1000
332s 663ms/step - loss: 0.2037 - acc: 0.9865 - val_loss: 0.3430 - val_acc: 0.9496
Epoch 572/1000
332s 665ms/step - loss: 0.2030 - acc: 0.9867 - val_loss: 0.3447 - val_acc: 0.9491
Epoch 573/1000
333s 666ms/step - loss: 0.1966 - acc: 0.9888 - val_loss: 0.3406 - val_acc: 0.9500
Epoch 574/1000
334s 667ms/step - loss: 0.2035 - acc: 0.9869 - val_loss: 0.3397 - val_acc: 0.9495
Epoch 575/1000
332s 664ms/step - loss: 0.1996 - acc: 0.9880 - val_loss: 0.3495 - val_acc: 0.9485
Epoch 576/1000
334s 669ms/step - loss: 0.1978 - acc: 0.9888 - val_loss: 0.3499 - val_acc: 0.9480
Epoch 577/1000
335s 670ms/step - loss: 0.1963 - acc: 0.9889 - val_loss: 0.3402 - val_acc: 0.9501
Epoch 578/1000
334s 669ms/step - loss: 0.1966 - acc: 0.9887 - val_loss: 0.3376 - val_acc: 0.9499
Epoch 579/1000
335s 669ms/step - loss: 0.2001 - acc: 0.9875 - val_loss: 0.3440 - val_acc: 0.9472
Epoch 580/1000
334s 668ms/step - loss: 0.1990 - acc: 0.9884 - val_loss: 0.3421 - val_acc: 0.9494
Epoch 581/1000
333s 667ms/step - loss: 0.2014 - acc: 0.9869 - val_loss: 0.3274 - val_acc: 0.9535
Epoch 582/1000
334s 668ms/step - loss: 0.2016 - acc: 0.9871 - val_loss: 0.3455 - val_acc: 0.9487
Epoch 583/1000
334s 668ms/step - loss: 0.2005 - acc: 0.9877 - val_loss: 0.3417 - val_acc: 0.9483
Epoch 584/1000
332s 664ms/step - loss: 0.1984 - acc: 0.9877 - val_loss: 0.3477 - val_acc: 0.9466
Epoch 585/1000
335s 669ms/step - loss: 0.2025 - acc: 0.9867 - val_loss: 0.3508 - val_acc: 0.9441
Epoch 586/1000
334s 669ms/step - loss: 0.1995 - acc: 0.9879 - val_loss: 0.3432 - val_acc: 0.9480
Epoch 587/1000
334s 668ms/step - loss: 0.1969 - acc: 0.9888 - val_loss: 0.3486 - val_acc: 0.9476
Epoch 588/1000
332s 663ms/step - loss: 0.2015 - acc: 0.9871 - val_loss: 0.3385 - val_acc: 0.9488
Epoch 589/1000
332s 663ms/step - loss: 0.1994 - acc: 0.9877 - val_loss: 0.3444 - val_acc: 0.9456
Epoch 590/1000
334s 668ms/step - loss: 0.2010 - acc: 0.9878 - val_loss: 0.3489 - val_acc: 0.9457
Epoch 591/1000
334s 668ms/step - loss: 0.2010 - acc: 0.9878 - val_loss: 0.3371 - val_acc: 0.9497
Epoch 592/1000
332s 664ms/step - loss: 0.1966 - acc: 0.9887 - val_loss: 0.3478 - val_acc: 0.9455
Epoch 593/1000
334s 669ms/step - loss: 0.1993 - acc: 0.9875 - val_loss: 0.3397 - val_acc: 0.9492
Epoch 594/1000
332s 663ms/step - loss: 0.2002 - acc: 0.9877 - val_loss: 0.3415 - val_acc: 0.9504
Epoch 595/1000
332s 663ms/step - loss: 0.1973 - acc: 0.9885 - val_loss: 0.3457 - val_acc: 0.9482
Epoch 596/1000
334s 667ms/step - loss: 0.2007 - acc: 0.9877 - val_loss: 0.3558 - val_acc: 0.9450
Epoch 597/1000
334s 667ms/step - loss: 0.1961 - acc: 0.9890 - val_loss: 0.3313 - val_acc: 0.9523
Epoch 598/1000
334s 668ms/step - loss: 0.1961 - acc: 0.9889 - val_loss: 0.3423 - val_acc: 0.9487
Epoch 599/1000
332s 664ms/step - loss: 0.1957 - acc: 0.9887 - val_loss: 0.3471 - val_acc: 0.9463
Epoch 600/1000
332s 664ms/step - loss: 0.1979 - acc: 0.9886 - val_loss: 0.3447 - val_acc: 0.9484
Epoch 601/1000
lr changed to 0.0009999999776482583
334s 668ms/step - loss: 0.1872 - acc: 0.9920 - val_loss: 0.3180 - val_acc: 0.9540
Epoch 602/1000
332s 663ms/step - loss: 0.1760 - acc: 0.9955 - val_loss: 0.3097 - val_acc: 0.9569
Epoch 603/1000
332s 663ms/step - loss: 0.1743 - acc: 0.9963 - val_loss: 0.3071 - val_acc: 0.9586
Epoch 604/1000
333s 667ms/step - loss: 0.1715 - acc: 0.9969 - val_loss: 0.3063 - val_acc: 0.9585
Epoch 605/1000
331s 663ms/step - loss: 0.1706 - acc: 0.9973 - val_loss: 0.3042 - val_acc: 0.9592
Epoch 606/1000
331s 663ms/step - loss: 0.1700 - acc: 0.9974 - val_loss: 0.3082 - val_acc: 0.9582
Epoch 607/1000
331s 663ms/step - loss: 0.1689 - acc: 0.9977 - val_loss: 0.3073 - val_acc: 0.9596
Epoch 608/1000
332s 664ms/step - loss: 0.1679 - acc: 0.9976 - val_loss: 0.3063 - val_acc: 0.9584
Epoch 609/1000
335s 670ms/step - loss: 0.1671 - acc: 0.9980 - val_loss: 0.3053 - val_acc: 0.9597
Epoch 610/1000
332s 663ms/step - loss: 0.1669 - acc: 0.9981 - val_loss: 0.3050 - val_acc: 0.9595
Epoch 611/1000
332s 664ms/step - loss: 0.1660 - acc: 0.9982 - val_loss: 0.3054 - val_acc: 0.9599
Epoch 612/1000
334s 668ms/step - loss: 0.1646 - acc: 0.9984 - val_loss: 0.3064 - val_acc: 0.9591
Epoch 613/1000
333s 666ms/step - loss: 0.1655 - acc: 0.9983 - val_loss: 0.3022 - val_acc: 0.9598
Epoch 614/1000
334s 668ms/step - loss: 0.1639 - acc: 0.9987 - val_loss: 0.3009 - val_acc: 0.9603
Epoch 615/1000
334s 667ms/step - loss: 0.1640 - acc: 0.9983 - val_loss: 0.3035 - val_acc: 0.9594
Epoch 616/1000
334s 669ms/step - loss: 0.1635 - acc: 0.9985 - val_loss: 0.3031 - val_acc: 0.9606
Epoch 617/1000
335s 669ms/step - loss: 0.1635 - acc: 0.9983 - val_loss: 0.3056 - val_acc: 0.9596
Epoch 618/1000
333s 666ms/step - loss: 0.1629 - acc: 0.9986 - val_loss: 0.3040 - val_acc: 0.9593
Epoch 619/1000
334s 667ms/step - loss: 0.1622 - acc: 0.9987 - val_loss: 0.3030 - val_acc: 0.9605
Epoch 620/1000
333s 666ms/step - loss: 0.1621 - acc: 0.9985 - val_loss: 0.3035 - val_acc: 0.9598
Epoch 621/1000
332s 664ms/step - loss: 0.1617 - acc: 0.9986 - val_loss: 0.3034 - val_acc: 0.9611
Epoch 622/1000
334s 668ms/step - loss: 0.1613 - acc: 0.9986 - val_loss: 0.3025 - val_acc: 0.9612
Epoch 623/1000
334s 668ms/step - loss: 0.1610 - acc: 0.9986 - val_loss: 0.3012 - val_acc: 0.9610
Epoch 624/1000
332s 664ms/step - loss: 0.1601 - acc: 0.9988 - val_loss: 0.3005 - val_acc: 0.9621
Epoch 625/1000
332s 664ms/step - loss: 0.1609 - acc: 0.9984 - val_loss: 0.3018 - val_acc: 0.9606
Epoch 626/1000
334s 667ms/step - loss: 0.1593 - acc: 0.9990 - val_loss: 0.3002 - val_acc: 0.9607
Epoch 627/1000
332s 663ms/step - loss: 0.1592 - acc: 0.9989 - val_loss: 0.3015 - val_acc: 0.9611
Epoch 628/1000
331s 663ms/step - loss: 0.1591 - acc: 0.9987 - val_loss: 0.2975 - val_acc: 0.9616
Epoch 629/1000
332s 663ms/step - loss: 0.1583 - acc: 0.9990 - val_loss: 0.2989 - val_acc: 0.9618
Epoch 630/1000
334s 667ms/step - loss: 0.1579 - acc: 0.9990 - val_loss: 0.2999 - val_acc: 0.9610
Epoch 631/1000
332s 663ms/step - loss: 0.1576 - acc: 0.9990 - val_loss: 0.3003 - val_acc: 0.9598
Epoch 632/1000
334s 669ms/step - loss: 0.1579 - acc: 0.9988 - val_loss: 0.2996 - val_acc: 0.9611
Epoch 633/1000
332s 664ms/step - loss: 0.1576 - acc: 0.9990 - val_loss: 0.2974 - val_acc: 0.9614
Epoch 634/1000
334s 669ms/step - loss: 0.1566 - acc: 0.9990 - val_loss: 0.3010 - val_acc: 0.9612
Epoch 635/1000
332s 664ms/step - loss: 0.1565 - acc: 0.9990 - val_loss: 0.3000 - val_acc: 0.9608
Epoch 636/1000
334s 669ms/step - loss: 0.1566 - acc: 0.9990 - val_loss: 0.3001 - val_acc: 0.9606
Epoch 637/1000
333s 665ms/step - loss: 0.1558 - acc: 0.9991 - val_loss: 0.2986 - val_acc: 0.9612
Epoch 638/1000
334s 668ms/step - loss: 0.1559 - acc: 0.9989 - val_loss: 0.2975 - val_acc: 0.9605
Epoch 639/1000
334s 668ms/step - loss: 0.1550 - acc: 0.9991 - val_loss: 0.2985 - val_acc: 0.9618
Epoch 640/1000
335s 670ms/step - loss: 0.1550 - acc: 0.9992 - val_loss: 0.2998 - val_acc: 0.9613
Epoch 641/1000
334s 668ms/step - loss: 0.1546 - acc: 0.9991 - val_loss: 0.2982 - val_acc: 0.9609
Epoch 642/1000
332s 663ms/step - loss: 0.1543 - acc: 0.9992 - val_loss: 0.2988 - val_acc: 0.9606
Epoch 643/1000
333s 666ms/step - loss: 0.1537 - acc: 0.9992 - val_loss: 0.2999 - val_acc: 0.9604
Epoch 644/1000
331s 663ms/step - loss: 0.1536 - acc: 0.9992 - val_loss: 0.2996 - val_acc: 0.9611
Epoch 645/1000
333s 666ms/step - loss: 0.1535 - acc: 0.9990 - val_loss: 0.2981 - val_acc: 0.9606
Epoch 646/1000
331s 663ms/step - loss: 0.1530 - acc: 0.9991 - val_loss: 0.2986 - val_acc: 0.9619
Epoch 647/1000
334s 668ms/step - loss: 0.1527 - acc: 0.9992 - val_loss: 0.2996 - val_acc: 0.9612
Epoch 648/1000
334s 669ms/step - loss: 0.1529 - acc: 0.9989 - val_loss: 0.2992 - val_acc: 0.9607
Epoch 649/1000
335s 670ms/step - loss: 0.1527 - acc: 0.9991 - val_loss: 0.2995 - val_acc: 0.9603
Epoch 650/1000
333s 666ms/step - loss: 0.1522 - acc: 0.9991 - val_loss: 0.2980 - val_acc: 0.9594
Epoch 651/1000
334s 669ms/step - loss: 0.1517 - acc: 0.9991 - val_loss: 0.2965 - val_acc: 0.9597
Epoch 652/1000
333s 667ms/step - loss: 0.1518 - acc: 0.9992 - val_loss: 0.2968 - val_acc: 0.9610
Epoch 653/1000
332s 663ms/step - loss: 0.1510 - acc: 0.9992 - val_loss: 0.2958 - val_acc: 0.9600
Epoch 654/1000
334s 667ms/step - loss: 0.1510 - acc: 0.9991 - val_loss: 0.2962 - val_acc: 0.9605
Epoch 655/1000
332s 664ms/step - loss: 0.1507 - acc: 0.9991 - val_loss: 0.2951 - val_acc: 0.9609
Epoch 656/1000
335s 669ms/step - loss: 0.1502 - acc: 0.9991 - val_loss: 0.2944 - val_acc: 0.9601
Epoch 657/1000
333s 667ms/step - loss: 0.1503 - acc: 0.9990 - val_loss: 0.2938 - val_acc: 0.9610
Epoch 658/1000
332s 664ms/step - loss: 0.1495 - acc: 0.9993 - val_loss: 0.2957 - val_acc: 0.9613
Epoch 659/1000
333s 667ms/step - loss: 0.1501 - acc: 0.9990 - val_loss: 0.2962 - val_acc: 0.9603
Epoch 660/1000
332s 664ms/step - loss: 0.1492 - acc: 0.9992 - val_loss: 0.2962 - val_acc: 0.9607
Epoch 661/1000
333s 666ms/step - loss: 0.1488 - acc: 0.9993 - val_loss: 0.2975 - val_acc: 0.9593
Epoch 662/1000
331s 663ms/step - loss: 0.1487 - acc: 0.9992 - val_loss: 0.2947 - val_acc: 0.9608
Epoch 663/1000
334s 667ms/step - loss: 0.1483 - acc: 0.9993 - val_loss: 0.2956 - val_acc: 0.9598
Epoch 664/1000
334s 668ms/step - loss: 0.1483 - acc: 0.9991 - val_loss: 0.2938 - val_acc: 0.9608
Epoch 665/1000
334s 668ms/step - loss: 0.1479 - acc: 0.9992 - val_loss: 0.2913 - val_acc: 0.9607
Epoch 666/1000
334s 667ms/step - loss: 0.1478 - acc: 0.9992 - val_loss: 0.2925 - val_acc: 0.9607
Epoch 667/1000
332s 663ms/step - loss: 0.1471 - acc: 0.9993 - val_loss: 0.2930 - val_acc: 0.9606
Epoch 668/1000
334s 667ms/step - loss: 0.1471 - acc: 0.9992 - val_loss: 0.2920 - val_acc: 0.9609
Epoch 669/1000
333s 667ms/step - loss: 0.1467 - acc: 0.9992 - val_loss: 0.2909 - val_acc: 0.9613
Epoch 670/1000
334s 668ms/step - loss: 0.1463 - acc: 0.9994 - val_loss: 0.2927 - val_acc: 0.9613
Epoch 671/1000
334s 667ms/step - loss: 0.1461 - acc: 0.9993 - val_loss: 0.2942 - val_acc: 0.9601
Epoch 672/1000
331s 663ms/step - loss: 0.1455 - acc: 0.9993 - val_loss: 0.2936 - val_acc: 0.9611
Epoch 673/1000
331s 663ms/step - loss: 0.1452 - acc: 0.9994 - val_loss: 0.2908 - val_acc: 0.9613
Epoch 674/1000
331s 662ms/step - loss: 0.1453 - acc: 0.9992 - val_loss: 0.2925 - val_acc: 0.9595
Epoch 675/1000
331s 662ms/step - loss: 0.1449 - acc: 0.9992 - val_loss: 0.2913 - val_acc: 0.9615
Epoch 676/1000
333s 665ms/step - loss: 0.1450 - acc: 0.9993 - val_loss: 0.2908 - val_acc: 0.9613
Epoch 677/1000
333s 666ms/step - loss: 0.1442 - acc: 0.9995 - val_loss: 0.2916 - val_acc: 0.9612
Epoch 678/1000
332s 664ms/step - loss: 0.1439 - acc: 0.9995 - val_loss: 0.2944 - val_acc: 0.9609
Epoch 679/1000
334s 667ms/step - loss: 0.1440 - acc: 0.9994 - val_loss: 0.2921 - val_acc: 0.9612
Epoch 680/1000
331s 663ms/step - loss: 0.1432 - acc: 0.9996 - val_loss: 0.2919 - val_acc: 0.9613
Epoch 681/1000
334s 669ms/step - loss: 0.1436 - acc: 0.9992 - val_loss: 0.2935 - val_acc: 0.9599
Epoch 682/1000
332s 665ms/step - loss: 0.1431 - acc: 0.9993 - val_loss: 0.2910 - val_acc: 0.9608
Epoch 683/1000
333s 666ms/step - loss: 0.1434 - acc: 0.9991 - val_loss: 0.2910 - val_acc: 0.9613
Epoch 684/1000
333s 665ms/step - loss: 0.1427 - acc: 0.9993 - val_loss: 0.2907 - val_acc: 0.9612
Epoch 685/1000
332s 664ms/step - loss: 0.1427 - acc: 0.9993 - val_loss: 0.2910 - val_acc: 0.9611
Epoch 686/1000
333s 666ms/step - loss: 0.1423 - acc: 0.9991 - val_loss: 0.2946 - val_acc: 0.9606
Epoch 687/1000
331s 661ms/step - loss: 0.1417 - acc: 0.9994 - val_loss: 0.2935 - val_acc: 0.9616
Epoch 688/1000
334s 667ms/step - loss: 0.1416 - acc: 0.9995 - val_loss: 0.2922 - val_acc: 0.9612
Epoch 689/1000
333s 667ms/step - loss: 0.1413 - acc: 0.9994 - val_loss: 0.2932 - val_acc: 0.9609
Epoch 690/1000
334s 667ms/step - loss: 0.1413 - acc: 0.9992 - val_loss: 0.2914 - val_acc: 0.9616
Epoch 691/1000
332s 665ms/step - loss: 0.1413 - acc: 0.9990 - val_loss: 0.2935 - val_acc: 0.9619
Epoch 692/1000
333s 666ms/step - loss: 0.1410 - acc: 0.9993 - val_loss: 0.2952 - val_acc: 0.9612
Epoch 693/1000
333s 667ms/step - loss: 0.1407 - acc: 0.9992 - val_loss: 0.2952 - val_acc: 0.9602
Epoch 694/1000
331s 662ms/step - loss: 0.1404 - acc: 0.9992 - val_loss: 0.2940 - val_acc: 0.9600
Epoch 695/1000
333s 667ms/step - loss: 0.1400 - acc: 0.9995 - val_loss: 0.2934 - val_acc: 0.9603
Epoch 696/1000
334s 668ms/step - loss: 0.1396 - acc: 0.9994 - val_loss: 0.2940 - val_acc: 0.9602
Epoch 697/1000
333s 665ms/step - loss: 0.1394 - acc: 0.9994 - val_loss: 0.2925 - val_acc: 0.9599
Epoch 698/1000
333s 667ms/step - loss: 0.1393 - acc: 0.9994 - val_loss: 0.2920 - val_acc: 0.9611
Epoch 699/1000
333s 667ms/step - loss: 0.1392 - acc: 0.9992 - val_loss: 0.2884 - val_acc: 0.9611
Epoch 700/1000
333s 666ms/step - loss: 0.1383 - acc: 0.9994 - val_loss: 0.2877 - val_acc: 0.9609
Epoch 701/1000
331s 661ms/step - loss: 0.1385 - acc: 0.9993 - val_loss: 0.2887 - val_acc: 0.9605
Epoch 702/1000
332s 665ms/step - loss: 0.1387 - acc: 0.9992 - val_loss: 0.2883 - val_acc: 0.9606
Epoch 703/1000
331s 661ms/step - loss: 0.1380 - acc: 0.9992 - val_loss: 0.2892 - val_acc: 0.9603
Epoch 704/1000
331s 662ms/step - loss: 0.1376 - acc: 0.9994 - val_loss: 0.2886 - val_acc: 0.9598
Epoch 705/1000
334s 668ms/step - loss: 0.1379 - acc: 0.9993 - val_loss: 0.2891 - val_acc: 0.9608
Epoch 706/1000
333s 666ms/step - loss: 0.1372 - acc: 0.9994 - val_loss: 0.2902 - val_acc: 0.9595
Epoch 707/1000
333s 666ms/step - loss: 0.1370 - acc: 0.9995 - val_loss: 0.2895 - val_acc: 0.9594
Epoch 708/1000
333s 665ms/step - loss: 0.1370 - acc: 0.9992 - val_loss: 0.2892 - val_acc: 0.9594
Epoch 709/1000
331s 662ms/step - loss: 0.1366 - acc: 0.9993 - val_loss: 0.2897 - val_acc: 0.9594
Epoch 710/1000
331s 662ms/step - loss: 0.1362 - acc: 0.9996 - val_loss: 0.2913 - val_acc: 0.9589
Epoch 711/1000
334s 667ms/step - loss: 0.1362 - acc: 0.9993 - val_loss: 0.2890 - val_acc: 0.9609
Epoch 712/1000
333s 666ms/step - loss: 0.1360 - acc: 0.9993 - val_loss: 0.2924 - val_acc: 0.9584
Epoch 713/1000
333s 666ms/step - loss: 0.1361 - acc: 0.9992 - val_loss: 0.2912 - val_acc: 0.9587
Epoch 714/1000
331s 661ms/step - loss: 0.1354 - acc: 0.9993 - val_loss: 0.2904 - val_acc: 0.9581
Epoch 715/1000
331s 662ms/step - loss: 0.1354 - acc: 0.9994 - val_loss: 0.2901 - val_acc: 0.9581
Epoch 716/1000
333s 666ms/step - loss: 0.1351 - acc: 0.9992 - val_loss: 0.2914 - val_acc: 0.9582
Epoch 717/1000
332s 664ms/step - loss: 0.1349 - acc: 0.9992 - val_loss: 0.2881 - val_acc: 0.9585
Epoch 718/1000
331s 662ms/step - loss: 0.1345 - acc: 0.9995 - val_loss: 0.2870 - val_acc: 0.9596
Epoch 719/1000
331s 662ms/step - loss: 0.1344 - acc: 0.9994 - val_loss: 0.2863 - val_acc: 0.9600
Epoch 720/1000
333s 667ms/step - loss: 0.1343 - acc: 0.9993 - val_loss: 0.2881 - val_acc: 0.9592
Epoch 721/1000
334s 667ms/step - loss: 0.1338 - acc: 0.9995 - val_loss: 0.2869 - val_acc: 0.9595
Epoch 722/1000
331s 661ms/step - loss: 0.1336 - acc: 0.9995 - val_loss: 0.2853 - val_acc: 0.9599
Epoch 723/1000
334s 668ms/step - loss: 0.1334 - acc: 0.9994 - val_loss: 0.2856 - val_acc: 0.9603
Epoch 724/1000
331s 661ms/step - loss: 0.1330 - acc: 0.9995 - val_loss: 0.2843 - val_acc: 0.9600
Epoch 725/1000
332s 664ms/step - loss: 0.1330 - acc: 0.9993 - val_loss: 0.2853 - val_acc: 0.9601
Epoch 726/1000
331s 661ms/step - loss: 0.1329 - acc: 0.9994 - val_loss: 0.2819 - val_acc: 0.9600
Epoch 727/1000
331s 662ms/step - loss: 0.1326 - acc: 0.9994 - val_loss: 0.2816 - val_acc: 0.9596
Epoch 728/1000
333s 665ms/step - loss: 0.1324 - acc: 0.9993 - val_loss: 0.2826 - val_acc: 0.9598
Epoch 729/1000
333s 666ms/step - loss: 0.1323 - acc: 0.9994 - val_loss: 0.2840 - val_acc: 0.9597
Epoch 730/1000
331s 662ms/step - loss: 0.1321 - acc: 0.9993 - val_loss: 0.2831 - val_acc: 0.9604
Epoch 731/1000
333s 666ms/step - loss: 0.1314 - acc: 0.9995 - val_loss: 0.2833 - val_acc: 0.9597
Epoch 732/1000
333s 666ms/step - loss: 0.1315 - acc: 0.9994 - val_loss: 0.2808 - val_acc: 0.9609
Epoch 733/1000
331s 662ms/step - loss: 0.1309 - acc: 0.9994 - val_loss: 0.2831 - val_acc: 0.9593
Epoch 734/1000
332s 665ms/step - loss: 0.1308 - acc: 0.9994 - val_loss: 0.2840 - val_acc: 0.9592
Epoch 735/1000
331s 662ms/step - loss: 0.1306 - acc: 0.9995 - val_loss: 0.2836 - val_acc: 0.9596
Epoch 736/1000
332s 664ms/step - loss: 0.1305 - acc: 0.9993 - val_loss: 0.2838 - val_acc: 0.9590
Epoch 737/1000
331s 662ms/step - loss: 0.1302 - acc: 0.9994 - val_loss: 0.2829 - val_acc: 0.9593
Epoch 738/1000
333s 666ms/step - loss: 0.1304 - acc: 0.9993 - val_loss: 0.2845 - val_acc: 0.9580
Epoch 739/1000
333s 666ms/step - loss: 0.1296 - acc: 0.9996 - val_loss: 0.2878 - val_acc: 0.9579
Epoch 740/1000
333s 666ms/step - loss: 0.1298 - acc: 0.9993 - val_loss: 0.2851 - val_acc: 0.9587
Epoch 741/1000
333s 666ms/step - loss: 0.1294 - acc: 0.9995 - val_loss: 0.2859 - val_acc: 0.9593
Epoch 742/1000
333s 665ms/step - loss: 0.1290 - acc: 0.9995 - val_loss: 0.2840 - val_acc: 0.9589
Epoch 743/1000
333s 666ms/step - loss: 0.1288 - acc: 0.9995 - val_loss: 0.2836 - val_acc: 0.9591
Epoch 744/1000
332s 665ms/step - loss: 0.1286 - acc: 0.9995 - val_loss: 0.2868 - val_acc: 0.9587
Epoch 745/1000
331s 662ms/step - loss: 0.1288 - acc: 0.9993 - val_loss: 0.2851 - val_acc: 0.9587
Epoch 746/1000
331s 661ms/step - loss: 0.1285 - acc: 0.9993 - val_loss: 0.2841 - val_acc: 0.9589
Epoch 747/1000
331s 662ms/step - loss: 0.1282 - acc: 0.9995 - val_loss: 0.2841 - val_acc: 0.9589
Epoch 748/1000
334s 667ms/step - loss: 0.1281 - acc: 0.9994 - val_loss: 0.2846 - val_acc: 0.9585
Epoch 749/1000
333s 665ms/step - loss: 0.1276 - acc: 0.9995 - val_loss: 0.2846 - val_acc: 0.9597
Epoch 750/1000
333s 665ms/step - loss: 0.1272 - acc: 0.9996 - val_loss: 0.2839 - val_acc: 0.9589
Epoch 751/1000
333s 667ms/step - loss: 0.1272 - acc: 0.9995 - val_loss: 0.2831 - val_acc: 0.9594
Epoch 752/1000
332s 665ms/step - loss: 0.1273 - acc: 0.9994 - val_loss: 0.2828 - val_acc: 0.9592
Epoch 753/1000
333s 666ms/step - loss: 0.1271 - acc: 0.9994 - val_loss: 0.2823 - val_acc: 0.9592
Epoch 754/1000
333s 667ms/step - loss: 0.1267 - acc: 0.9995 - val_loss: 0.2826 - val_acc: 0.9598
Epoch 755/1000
333s 666ms/step - loss: 0.1263 - acc: 0.9994 - val_loss: 0.2818 - val_acc: 0.9593
Epoch 756/1000
331s 662ms/step - loss: 0.1265 - acc: 0.9993 - val_loss: 0.2828 - val_acc: 0.9589
Epoch 757/1000
332s 664ms/step - loss: 0.1264 - acc: 0.9993 - val_loss: 0.2824 - val_acc: 0.9592
Epoch 758/1000
331s 661ms/step - loss: 0.1256 - acc: 0.9995 - val_loss: 0.2849 - val_acc: 0.9583
Epoch 759/1000
333s 666ms/step - loss: 0.1257 - acc: 0.9994 - val_loss: 0.2808 - val_acc: 0.9599
Epoch 760/1000
330s 661ms/step - loss: 0.1254 - acc: 0.9995 - val_loss: 0.2834 - val_acc: 0.9583
Epoch 761/1000
332s 665ms/step - loss: 0.1254 - acc: 0.9993 - val_loss: 0.2835 - val_acc: 0.9586
Epoch 762/1000
331s 662ms/step - loss: 0.1250 - acc: 0.9994 - val_loss: 0.2806 - val_acc: 0.9588
Epoch 763/1000
333s 667ms/step - loss: 0.1249 - acc: 0.9993 - val_loss: 0.2796 - val_acc: 0.9587
Epoch 764/1000
331s 662ms/step - loss: 0.1250 - acc: 0.9993 - val_loss: 0.2825 - val_acc: 0.9578
Epoch 765/1000
333s 667ms/step - loss: 0.1247 - acc: 0.9993 - val_loss: 0.2783 - val_acc: 0.9593
Epoch 766/1000
333s 666ms/step - loss: 0.1248 - acc: 0.9994 - val_loss: 0.2803 - val_acc: 0.9590
Epoch 767/1000
333s 666ms/step - loss: 0.1240 - acc: 0.9994 - val_loss: 0.2807 - val_acc: 0.9596
Epoch 768/1000
333s 666ms/step - loss: 0.1242 - acc: 0.9994 - val_loss: 0.2812 - val_acc: 0.9597
Epoch 769/1000
333s 666ms/step - loss: 0.1239 - acc: 0.9994 - val_loss: 0.2761 - val_acc: 0.9599
Epoch 770/1000
334s 668ms/step - loss: 0.1235 - acc: 0.9994 - val_loss: 0.2768 - val_acc: 0.9593
Epoch 771/1000
331s 663ms/step - loss: 0.1233 - acc: 0.9993 - val_loss: 0.2772 - val_acc: 0.9588
Epoch 772/1000
334s 667ms/step - loss: 0.1230 - acc: 0.9996 - val_loss: 0.2790 - val_acc: 0.9592
Epoch 773/1000
331s 662ms/step - loss: 0.1227 - acc: 0.9995 - val_loss: 0.2765 - val_acc: 0.9603
Epoch 774/1000
333s 665ms/step - loss: 0.1227 - acc: 0.9994 - val_loss: 0.2768 - val_acc: 0.9587
Epoch 775/1000
333s 666ms/step - loss: 0.1225 - acc: 0.9995 - val_loss: 0.2768 - val_acc: 0.9597
Epoch 776/1000
331s 661ms/step - loss: 0.1222 - acc: 0.9995 - val_loss: 0.2776 - val_acc: 0.9594
Epoch 777/1000
332s 665ms/step - loss: 0.1220 - acc: 0.9995 - val_loss: 0.2776 - val_acc: 0.9592
Epoch 778/1000
332s 665ms/step - loss: 0.1218 - acc: 0.9995 - val_loss: 0.2760 - val_acc: 0.9587
Epoch 779/1000
331s 662ms/step - loss: 0.1216 - acc: 0.9995 - val_loss: 0.2772 - val_acc: 0.9594
Epoch 780/1000
334s 667ms/step - loss: 0.1216 - acc: 0.9993 - val_loss: 0.2774 - val_acc: 0.9590
Epoch 781/1000
331s 661ms/step - loss: 0.1216 - acc: 0.9992 - val_loss: 0.2787 - val_acc: 0.9593
Epoch 782/1000
333s 666ms/step - loss: 0.1209 - acc: 0.9996 - val_loss: 0.2797 - val_acc: 0.9584
Epoch 783/1000
333s 666ms/step - loss: 0.1207 - acc: 0.9995 - val_loss: 0.2789 - val_acc: 0.9586
Epoch 784/1000
333s 665ms/step - loss: 0.1203 - acc: 0.9996 - val_loss: 0.2784 - val_acc: 0.9595
Epoch 785/1000
331s 662ms/step - loss: 0.1207 - acc: 0.9993 - val_loss: 0.2754 - val_acc: 0.9595
Epoch 786/1000
333s 666ms/step - loss: 0.1199 - acc: 0.9996 - val_loss: 0.2747 - val_acc: 0.9592
Epoch 787/1000
334s 668ms/step - loss: 0.1202 - acc: 0.9993 - val_loss: 0.2772 - val_acc: 0.9590
Epoch 788/1000
334s 667ms/step - loss: 0.1199 - acc: 0.9994 - val_loss: 0.2792 - val_acc: 0.9589
Epoch 789/1000
331s 662ms/step - loss: 0.1200 - acc: 0.9993 - val_loss: 0.2767 - val_acc: 0.9592
Epoch 790/1000
334s 667ms/step - loss: 0.1198 - acc: 0.9994 - val_loss: 0.2781 - val_acc: 0.9582
Epoch 791/1000
336s 671ms/step - loss: 0.1194 - acc: 0.9995 - val_loss: 0.2788 - val_acc: 0.9578
Epoch 792/1000
335s 669ms/step - loss: 0.1192 - acc: 0.9994 - val_loss: 0.2755 - val_acc: 0.9587
Epoch 793/1000
333s 667ms/step - loss: 0.1191 - acc: 0.9995 - val_loss: 0.2770 - val_acc: 0.9583
Epoch 794/1000
333s 666ms/step - loss: 0.1190 - acc: 0.9994 - val_loss: 0.2790 - val_acc: 0.9573
Epoch 795/1000
333s 666ms/step - loss: 0.1186 - acc: 0.9994 - val_loss: 0.2776 - val_acc: 0.9582
Epoch 796/1000
336s 671ms/step - loss: 0.1180 - acc: 0.9996 - val_loss: 0.2768 - val_acc: 0.9583
Epoch 797/1000
336s 671ms/step - loss: 0.1182 - acc: 0.9995 - val_loss: 0.2769 - val_acc: 0.9574
Epoch 798/1000
338s 675ms/step - loss: 0.1184 - acc: 0.9993 - val_loss: 0.2746 - val_acc: 0.9582
Epoch 799/1000
336s 672ms/step - loss: 0.1182 - acc: 0.9993 - val_loss: 0.2777 - val_acc: 0.9580
Epoch 800/1000
335s 670ms/step - loss: 0.1178 - acc: 0.9994 - val_loss: 0.2809 - val_acc: 0.9572
Epoch 801/1000
333s 666ms/step - loss: 0.1178 - acc: 0.9994 - val_loss: 0.2774 - val_acc: 0.9578
Epoch 802/1000
336s 671ms/step - loss: 0.1171 - acc: 0.9996 - val_loss: 0.2759 - val_acc: 0.9572
Epoch 803/1000
333s 667ms/step - loss: 0.1168 - acc: 0.9996 - val_loss: 0.2787 - val_acc: 0.9575
Epoch 804/1000
333s 666ms/step - loss: 0.1172 - acc: 0.9994 - val_loss: 0.2780 - val_acc: 0.9578
Epoch 805/1000
335s 670ms/step - loss: 0.1170 - acc: 0.9994 - val_loss: 0.2762 - val_acc: 0.9575
Epoch 806/1000
335s 671ms/step - loss: 0.1169 - acc: 0.9993 - val_loss: 0.2765 - val_acc: 0.9579
Epoch 807/1000
335s 670ms/step - loss: 0.1162 - acc: 0.9995 - val_loss: 0.2783 - val_acc: 0.9562
Epoch 808/1000
335s 669ms/step - loss: 0.1159 - acc: 0.9997 - val_loss: 0.2781 - val_acc: 0.9572
Epoch 809/1000
338s 677ms/step - loss: 0.1161 - acc: 0.9995 - val_loss: 0.2788 - val_acc: 0.9565
Epoch 810/1000
335s 670ms/step - loss: 0.1158 - acc: 0.9995 - val_loss: 0.2763 - val_acc: 0.9584
Epoch 811/1000
335s 670ms/step - loss: 0.1161 - acc: 0.9993 - val_loss: 0.2747 - val_acc: 0.9579
Epoch 812/1000
331s 662ms/step - loss: 0.1158 - acc: 0.9993 - val_loss: 0.2728 - val_acc: 0.9580
Epoch 813/1000
332s 663ms/step - loss: 0.1155 - acc: 0.9994 - val_loss: 0.2721 - val_acc: 0.9582
Epoch 814/1000
334s 668ms/step - loss: 0.1153 - acc: 0.9994 - val_loss: 0.2742 - val_acc: 0.9576
Epoch 815/1000
333s 667ms/step - loss: 0.1151 - acc: 0.9993 - val_loss: 0.2707 - val_acc: 0.9591
Epoch 816/1000
332s 664ms/step - loss: 0.1150 - acc: 0.9994 - val_loss: 0.2677 - val_acc: 0.9598
Epoch 817/1000
333s 666ms/step - loss: 0.1152 - acc: 0.9992 - val_loss: 0.2680 - val_acc: 0.9597
Epoch 818/1000
333s 667ms/step - loss: 0.1142 - acc: 0.9996 - val_loss: 0.2679 - val_acc: 0.9592
Epoch 819/1000
332s 664ms/step - loss: 0.1148 - acc: 0.9992 - val_loss: 0.2703 - val_acc: 0.9591
Epoch 820/1000
332s 665ms/step - loss: 0.1142 - acc: 0.9996 - val_loss: 0.2698 - val_acc: 0.9592
Epoch 821/1000
334s 669ms/step - loss: 0.1146 - acc: 0.9993 - val_loss: 0.2690 - val_acc: 0.9589
Epoch 822/1000
335s 671ms/step - loss: 0.1138 - acc: 0.9994 - val_loss: 0.2703 - val_acc: 0.9587
Epoch 823/1000
332s 665ms/step - loss: 0.1142 - acc: 0.9992 - val_loss: 0.2683 - val_acc: 0.9584
Epoch 824/1000
335s 670ms/step - loss: 0.1133 - acc: 0.9995 - val_loss: 0.2667 - val_acc: 0.9587
Epoch 825/1000
334s 669ms/step - loss: 0.1135 - acc: 0.9995 - val_loss: 0.2674 - val_acc: 0.9584
Epoch 826/1000
334s 668ms/step - loss: 0.1136 - acc: 0.9993 - val_loss: 0.2659 - val_acc: 0.9600
Epoch 827/1000
334s 667ms/step - loss: 0.1135 - acc: 0.9993 - val_loss: 0.2674 - val_acc: 0.9593
Epoch 828/1000
334s 668ms/step - loss: 0.1130 - acc: 0.9994 - val_loss: 0.2644 - val_acc: 0.9587
Epoch 829/1000
333s 666ms/step - loss: 0.1126 - acc: 0.9995 - val_loss: 0.2693 - val_acc: 0.9580
Epoch 830/1000
331s 662ms/step - loss: 0.1127 - acc: 0.9993 - val_loss: 0.2684 - val_acc: 0.9596
Epoch 831/1000
331s 662ms/step - loss: 0.1124 - acc: 0.9994 - val_loss: 0.2668 - val_acc: 0.9591
Epoch 832/1000
334s 667ms/step - loss: 0.1126 - acc: 0.9995 - val_loss: 0.2665 - val_acc: 0.9587
Epoch 833/1000
333s 666ms/step - loss: 0.1119 - acc: 0.9994 - val_loss: 0.2682 - val_acc: 0.9597
Epoch 834/1000
332s 665ms/step - loss: 0.1119 - acc: 0.9994 - val_loss: 0.2693 - val_acc: 0.9584
Epoch 835/1000
331s 662ms/step - loss: 0.1119 - acc: 0.9994 - val_loss: 0.2692 - val_acc: 0.9601
Epoch 836/1000
331s 662ms/step - loss: 0.1116 - acc: 0.9993 - val_loss: 0.2740 - val_acc: 0.9580
Epoch 837/1000
331s 662ms/step - loss: 0.1114 - acc: 0.9995 - val_loss: 0.2733 - val_acc: 0.9572
Epoch 838/1000
333s 666ms/step - loss: 0.1112 - acc: 0.9995 - val_loss: 0.2695 - val_acc: 0.9582
Epoch 839/1000
331s 662ms/step - loss: 0.1112 - acc: 0.9993 - val_loss: 0.2685 - val_acc: 0.9581
Epoch 840/1000
333s 666ms/step - loss: 0.1110 - acc: 0.9994 - val_loss: 0.2653 - val_acc: 0.9594
Epoch 841/1000
331s 662ms/step - loss: 0.1110 - acc: 0.9992 - val_loss: 0.2649 - val_acc: 0.9579
Epoch 842/1000
334s 668ms/step - loss: 0.1110 - acc: 0.9993 - val_loss: 0.2652 - val_acc: 0.9595
Epoch 843/1000
332s 665ms/step - loss: 0.1104 - acc: 0.9995 - val_loss: 0.2688 - val_acc: 0.9597
Epoch 844/1000
333s 665ms/step - loss: 0.1101 - acc: 0.9995 - val_loss: 0.2704 - val_acc: 0.9588
Epoch 845/1000
331s 662ms/step - loss: 0.1107 - acc: 0.9992 - val_loss: 0.2655 - val_acc: 0.9595
Epoch 846/1000
331s 662ms/step - loss: 0.1096 - acc: 0.9995 - val_loss: 0.2720 - val_acc: 0.9575
Epoch 847/1000
334s 668ms/step - loss: 0.1099 - acc: 0.9994 - val_loss: 0.2728 - val_acc: 0.9584
Epoch 848/1000
334s 668ms/step - loss: 0.1096 - acc: 0.9994 - val_loss: 0.2745 - val_acc: 0.9566
Epoch 849/1000
334s 668ms/step - loss: 0.1095 - acc: 0.9993 - val_loss: 0.2745 - val_acc: 0.9555
Epoch 850/1000
331s 663ms/step - loss: 0.1094 - acc: 0.9994 - val_loss: 0.2732 - val_acc: 0.9570
Epoch 851/1000
334s 667ms/step - loss: 0.1092 - acc: 0.9994 - val_loss: 0.2731 - val_acc: 0.9575
Epoch 852/1000
333s 667ms/step - loss: 0.1088 - acc: 0.9995 - val_loss: 0.2720 - val_acc: 0.9571
Epoch 853/1000
333s 667ms/step - loss: 0.1086 - acc: 0.9994 - val_loss: 0.2694 - val_acc: 0.9576
Epoch 854/1000
334s 668ms/step - loss: 0.1083 - acc: 0.9996 - val_loss: 0.2745 - val_acc: 0.9566
Epoch 855/1000
334s 667ms/step - loss: 0.1083 - acc: 0.9995 - val_loss: 0.2727 - val_acc: 0.9571
Epoch 856/1000
335s 670ms/step - loss: 0.1085 - acc: 0.9994 - val_loss: 0.2742 - val_acc: 0.9575
Epoch 857/1000
336s 672ms/step - loss: 0.1079 - acc: 0.9995 - val_loss: 0.2723 - val_acc: 0.9565
Epoch 858/1000
332s 664ms/step - loss: 0.1076 - acc: 0.9995 - val_loss: 0.2707 - val_acc: 0.9579
Epoch 859/1000
332s 664ms/step - loss: 0.1078 - acc: 0.9994 - val_loss: 0.2726 - val_acc: 0.9571
Epoch 860/1000
332s 663ms/step - loss: 0.1078 - acc: 0.9994 - val_loss: 0.2687 - val_acc: 0.9573
Epoch 861/1000
333s 666ms/step - loss: 0.1073 - acc: 0.9995 - val_loss: 0.2706 - val_acc: 0.9579
Epoch 862/1000
332s 663ms/step - loss: 0.1072 - acc: 0.9994 - val_loss: 0.2713 - val_acc: 0.9575
Epoch 863/1000
332s 664ms/step - loss: 0.1069 - acc: 0.9995 - val_loss: 0.2709 - val_acc: 0.9582
Epoch 864/1000
333s 666ms/step - loss: 0.1074 - acc: 0.9993 - val_loss: 0.2657 - val_acc: 0.9582
Epoch 865/1000
332s 664ms/step - loss: 0.1069 - acc: 0.9994 - val_loss: 0.2698 - val_acc: 0.9578
Epoch 866/1000
334s 668ms/step - loss: 0.1073 - acc: 0.9992 - val_loss: 0.2678 - val_acc: 0.9575
Epoch 867/1000
334s 667ms/step - loss: 0.1070 - acc: 0.9993 - val_loss: 0.2711 - val_acc: 0.9576
Epoch 868/1000
334s 667ms/step - loss: 0.1062 - acc: 0.9995 - val_loss: 0.2678 - val_acc: 0.9580
Epoch 869/1000
333s 666ms/step - loss: 0.1065 - acc: 0.9993 - val_loss: 0.2710 - val_acc: 0.9573
Epoch 870/1000
332s 663ms/step - loss: 0.1060 - acc: 0.9996 - val_loss: 0.2680 - val_acc: 0.9572
Epoch 871/1000
334s 667ms/step - loss: 0.1057 - acc: 0.9995 - val_loss: 0.2681 - val_acc: 0.9576
Epoch 872/1000
334s 669ms/step - loss: 0.1054 - acc: 0.9996 - val_loss: 0.2693 - val_acc: 0.9577
Epoch 873/1000
334s 668ms/step - loss: 0.1057 - acc: 0.9993 - val_loss: 0.2713 - val_acc: 0.9567
Epoch 874/1000
331s 662ms/step - loss: 0.1053 - acc: 0.9994 - val_loss: 0.2650 - val_acc: 0.9589
Epoch 875/1000
333s 665ms/step - loss: 0.1054 - acc: 0.9994 - val_loss: 0.2675 - val_acc: 0.9578
Epoch 876/1000
331s 662ms/step - loss: 0.1048 - acc: 0.9995 - val_loss: 0.2688 - val_acc: 0.9575
Epoch 877/1000
331s 662ms/step - loss: 0.1049 - acc: 0.9994 - val_loss: 0.2710 - val_acc: 0.9572
Epoch 878/1000
331s 662ms/step - loss: 0.1050 - acc: 0.9994 - val_loss: 0.2690 - val_acc: 0.9584
Epoch 879/1000
333s 666ms/step - loss: 0.1046 - acc: 0.9995 - val_loss: 0.2702 - val_acc: 0.9564
Epoch 880/1000
331s 662ms/step - loss: 0.1044 - acc: 0.9995 - val_loss: 0.2702 - val_acc: 0.9572
Epoch 881/1000
334s 667ms/step - loss: 0.1044 - acc: 0.9995 - val_loss: 0.2709 - val_acc: 0.9573
Epoch 882/1000
333s 665ms/step - loss: 0.1045 - acc: 0.9994 - val_loss: 0.2707 - val_acc: 0.9577
Epoch 883/1000
333s 666ms/step - loss: 0.1038 - acc: 0.9995 - val_loss: 0.2732 - val_acc: 0.9574
Epoch 884/1000
333s 667ms/step - loss: 0.1044 - acc: 0.9992 - val_loss: 0.2711 - val_acc: 0.9570
Epoch 885/1000
332s 664ms/step - loss: 0.1045 - acc: 0.9992 - val_loss: 0.2655 - val_acc: 0.9579
Epoch 886/1000
333s 666ms/step - loss: 0.1037 - acc: 0.9995 - val_loss: 0.2647 - val_acc: 0.9575
Epoch 887/1000
331s 661ms/step - loss: 0.1034 - acc: 0.9994 - val_loss: 0.2657 - val_acc: 0.9581
Epoch 888/1000
334s 668ms/step - loss: 0.1033 - acc: 0.9994 - val_loss: 0.2661 - val_acc: 0.9578
Epoch 889/1000
334s 668ms/step - loss: 0.1031 - acc: 0.9994 - val_loss: 0.2644 - val_acc: 0.9572
Epoch 890/1000
334s 667ms/step - loss: 0.1035 - acc: 0.9993 - val_loss: 0.2673 - val_acc: 0.9572
Epoch 891/1000
332s 665ms/step - loss: 0.1030 - acc: 0.9995 - val_loss: 0.2683 - val_acc: 0.9573
Epoch 892/1000
332s 665ms/step - loss: 0.1027 - acc: 0.9996 - val_loss: 0.2671 - val_acc: 0.9590
Epoch 893/1000
331s 662ms/step - loss: 0.1024 - acc: 0.9995 - val_loss: 0.2693 - val_acc: 0.9576
Epoch 894/1000
332s 664ms/step - loss: 0.1023 - acc: 0.9995 - val_loss: 0.2678 - val_acc: 0.9578
Epoch 895/1000
333s 666ms/step - loss: 0.1026 - acc: 0.9994 - val_loss: 0.2655 - val_acc: 0.9581
Epoch 896/1000
331s 662ms/step - loss: 0.1026 - acc: 0.9994 - val_loss: 0.2696 - val_acc: 0.9575
Epoch 897/1000
334s 668ms/step - loss: 0.1024 - acc: 0.9993 - val_loss: 0.2681 - val_acc: 0.9575
Epoch 898/1000
331s 663ms/step - loss: 0.1019 - acc: 0.9994 - val_loss: 0.2709 - val_acc: 0.9571
Epoch 899/1000
333s 666ms/step - loss: 0.1018 - acc: 0.9994 - val_loss: 0.2702 - val_acc: 0.9570
Epoch 900/1000
333s 666ms/step - loss: 0.1019 - acc: 0.9992 - val_loss: 0.2697 - val_acc: 0.9573
Epoch 901/1000
lr changed to 9.999999310821295e-05
331s 661ms/step - loss: 0.1016 - acc: 0.9993 - val_loss: 0.2677 - val_acc: 0.9572
Epoch 902/1000
333s 666ms/step - loss: 0.1014 - acc: 0.9994 - val_loss: 0.2691 - val_acc: 0.9573
Epoch 903/1000
331s 662ms/step - loss: 0.1011 - acc: 0.9995 - val_loss: 0.2666 - val_acc: 0.9587
Epoch 904/1000
335s 669ms/step - loss: 0.1011 - acc: 0.9994 - val_loss: 0.2680 - val_acc: 0.9575
Epoch 905/1000
334s 669ms/step - loss: 0.1016 - acc: 0.9994 - val_loss: 0.2659 - val_acc: 0.9581
Epoch 906/1000
334s 667ms/step - loss: 0.1010 - acc: 0.9995 - val_loss: 0.2659 - val_acc: 0.9578
Epoch 907/1000
333s 666ms/step - loss: 0.1010 - acc: 0.9996 - val_loss: 0.2642 - val_acc: 0.9582
Epoch 908/1000
333s 665ms/step - loss: 0.1008 - acc: 0.9997 - val_loss: 0.2637 - val_acc: 0.9574
Epoch 909/1000
331s 662ms/step - loss: 0.1011 - acc: 0.9995 - val_loss: 0.2651 - val_acc: 0.9573
Epoch 910/1000
332s 665ms/step - loss: 0.1009 - acc: 0.9996 - val_loss: 0.2656 - val_acc: 0.9579
Epoch 911/1000
333s 666ms/step - loss: 0.1013 - acc: 0.9995 - val_loss: 0.2643 - val_acc: 0.9577
Epoch 912/1000
331s 662ms/step - loss: 0.1011 - acc: 0.9995 - val_loss: 0.2654 - val_acc: 0.9578
Epoch 913/1000
334s 667ms/step - loss: 0.1006 - acc: 0.9997 - val_loss: 0.2655 - val_acc: 0.9576
Epoch 914/1000
333s 665ms/step - loss: 0.1009 - acc: 0.9996 - val_loss: 0.2635 - val_acc: 0.9579
Epoch 915/1000
333s 667ms/step - loss: 0.1010 - acc: 0.9994 - val_loss: 0.2649 - val_acc: 0.9586
Epoch 916/1000
332s 665ms/step - loss: 0.1009 - acc: 0.9995 - val_loss: 0.2637 - val_acc: 0.9577
Epoch 917/1000
332s 664ms/step - loss: 0.1008 - acc: 0.9996 - val_loss: 0.2648 - val_acc: 0.9584
Epoch 918/1000
331s 662ms/step - loss: 0.1005 - acc: 0.9997 - val_loss: 0.2652 - val_acc: 0.9586
Epoch 919/1000
333s 666ms/step - loss: 0.1012 - acc: 0.9994 - val_loss: 0.2642 - val_acc: 0.9590
Epoch 920/1000
331s 662ms/step - loss: 0.1009 - acc: 0.9996 - val_loss: 0.2645 - val_acc: 0.9586
Epoch 921/1000
334s 669ms/step - loss: 0.1010 - acc: 0.9994 - val_loss: 0.2645 - val_acc: 0.9579
Epoch 922/1000
333s 665ms/step - loss: 0.1012 - acc: 0.9995 - val_loss: 0.2637 - val_acc: 0.9591
Epoch 923/1000
332s 665ms/step - loss: 0.1010 - acc: 0.9995 - val_loss: 0.2639 - val_acc: 0.9583
Epoch 924/1000
331s 663ms/step - loss: 0.1011 - acc: 0.9994 - val_loss: 0.2630 - val_acc: 0.9586
Epoch 925/1000
335s 669ms/step - loss: 0.1007 - acc: 0.9996 - val_loss: 0.2647 - val_acc: 0.9588
Epoch 926/1000
335s 670ms/step - loss: 0.1007 - acc: 0.9996 - val_loss: 0.2634 - val_acc: 0.9583
Epoch 927/1000
336s 673ms/step - loss: 0.1005 - acc: 0.9996 - val_loss: 0.2637 - val_acc: 0.9587
Epoch 928/1000
333s 667ms/step - loss: 0.1010 - acc: 0.9994 - val_loss: 0.2641 - val_acc: 0.9584
Epoch 929/1000
336s 672ms/step - loss: 0.1007 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9591
Epoch 930/1000
339s 679ms/step - loss: 0.1006 - acc: 0.9996 - val_loss: 0.2643 - val_acc: 0.9581
Epoch 931/1000
338s 676ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2625 - val_acc: 0.9583
Epoch 932/1000
338s 675ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2643 - val_acc: 0.9584
Epoch 933/1000
331s 662ms/step - loss: 0.1006 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9586
Epoch 934/1000
334s 668ms/step - loss: 0.1005 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9583
Epoch 935/1000
334s 667ms/step - loss: 0.1008 - acc: 0.9996 - val_loss: 0.2626 - val_acc: 0.9584
Epoch 936/1000
333s 667ms/step - loss: 0.1007 - acc: 0.9995 - val_loss: 0.2627 - val_acc: 0.9598
Epoch 937/1000
332s 665ms/step - loss: 0.1008 - acc: 0.9996 - val_loss: 0.2632 - val_acc: 0.9590
Epoch 938/1000
332s 663ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2627 - val_acc: 0.9590
Epoch 939/1000
333s 666ms/step - loss: 0.1005 - acc: 0.9996 - val_loss: 0.2636 - val_acc: 0.9592
Epoch 940/1000
333s 666ms/step - loss: 0.1004 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9587
Epoch 941/1000
333s 665ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2644 - val_acc: 0.9587
Epoch 942/1000
333s 666ms/step - loss: 0.1004 - acc: 0.9995 - val_loss: 0.2637 - val_acc: 0.9587
Epoch 943/1000
335s 669ms/step - loss: 0.1005 - acc: 0.9996 - val_loss: 0.2625 - val_acc: 0.9595
Epoch 944/1000
334s 668ms/step - loss: 0.1009 - acc: 0.9994 - val_loss: 0.2635 - val_acc: 0.9585
Epoch 945/1000
334s 668ms/step - loss: 0.1002 - acc: 0.9996 - val_loss: 0.2652 - val_acc: 0.9586
Epoch 946/1000
331s 662ms/step - loss: 0.1005 - acc: 0.9996 - val_loss: 0.2641 - val_acc: 0.9588
Epoch 947/1000
333s 666ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2638 - val_acc: 0.9583
Epoch 948/1000
333s 667ms/step - loss: 0.1005 - acc: 0.9995 - val_loss: 0.2634 - val_acc: 0.9594
Epoch 949/1000
331s 662ms/step - loss: 0.1002 - acc: 0.9997 - val_loss: 0.2641 - val_acc: 0.9591
Epoch 950/1000
333s 667ms/step - loss: 0.1003 - acc: 0.9995 - val_loss: 0.2616 - val_acc: 0.9591
Epoch 951/1000
333s 666ms/step - loss: 0.1000 - acc: 0.9998 - val_loss: 0.2634 - val_acc: 0.9590
Epoch 952/1000
331s 662ms/step - loss: 0.1001 - acc: 0.9996 - val_loss: 0.2619 - val_acc: 0.9593
Epoch 953/1000
334s 668ms/step - loss: 0.0997 - acc: 0.9998 - val_loss: 0.2638 - val_acc: 0.9587
Epoch 954/1000
333s 666ms/step - loss: 0.1003 - acc: 0.9996 - val_loss: 0.2643 - val_acc: 0.9593
Epoch 955/1000
333s 666ms/step - loss: 0.1002 - acc: 0.9996 - val_loss: 0.2630 - val_acc: 0.9587
Epoch 956/1000
331s 662ms/step - loss: 0.1000 - acc: 0.9996 - val_loss: 0.2634 - val_acc: 0.9587
Epoch 957/1000
333s 667ms/step - loss: 0.1001 - acc: 0.9995 - val_loss: 0.2640 - val_acc: 0.9588
Epoch 958/1000
332s 665ms/step - loss: 0.1004 - acc: 0.9995 - val_loss: 0.2637 - val_acc: 0.9591
Epoch 959/1000
333s 667ms/step - loss: 0.1003 - acc: 0.9997 - val_loss: 0.2625 - val_acc: 0.9591
Epoch 960/1000
333s 665ms/step - loss: 0.1000 - acc: 0.9996 - val_loss: 0.2639 - val_acc: 0.9595
Epoch 961/1000
331s 662ms/step - loss: 0.1003 - acc: 0.9994 - val_loss: 0.2644 - val_acc: 0.9590
Epoch 962/1000
333s 667ms/step - loss: 0.0999 - acc: 0.9996 - val_loss: 0.2633 - val_acc: 0.9595
Epoch 963/1000
333s 666ms/step - loss: 0.1003 - acc: 0.9995 - val_loss: 0.2635 - val_acc: 0.9594
Epoch 964/1000
331s 662ms/step - loss: 0.0999 - acc: 0.9995 - val_loss: 0.2623 - val_acc: 0.9593
Epoch 965/1000
331s 662ms/step - loss: 0.1001 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9593
Epoch 966/1000
333s 666ms/step - loss: 0.1003 - acc: 0.9995 - val_loss: 0.2640 - val_acc: 0.9592
Epoch 967/1000
331s 661ms/step - loss: 0.0995 - acc: 0.9998 - val_loss: 0.2636 - val_acc: 0.9594
Epoch 968/1000
331s 663ms/step - loss: 0.0998 - acc: 0.9997 - val_loss: 0.2642 - val_acc: 0.9585
Epoch 969/1000
336s 672ms/step - loss: 0.0999 - acc: 0.9995 - val_loss: 0.2631 - val_acc: 0.9595
Epoch 970/1000
333s 667ms/step - loss: 0.1000 - acc: 0.9997 - val_loss: 0.2633 - val_acc: 0.9596
Epoch 971/1000
332s 665ms/step - loss: 0.0998 - acc: 0.9996 - val_loss: 0.2643 - val_acc: 0.9589
Epoch 972/1000
331s 662ms/step - loss: 0.0998 - acc: 0.9996 - val_loss: 0.2655 - val_acc: 0.9600
Epoch 973/1000
333s 666ms/step - loss: 0.0997 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9590
Epoch 974/1000
331s 662ms/step - loss: 0.0999 - acc: 0.9995 - val_loss: 0.2641 - val_acc: 0.9588
Epoch 975/1000
333s 667ms/step - loss: 0.0996 - acc: 0.9998 - val_loss: 0.2651 - val_acc: 0.9593
Epoch 976/1000
333s 666ms/step - loss: 0.1000 - acc: 0.9995 - val_loss: 0.2647 - val_acc: 0.9591
Epoch 977/1000
334s 668ms/step - loss: 0.0998 - acc: 0.9996 - val_loss: 0.2645 - val_acc: 0.9589
Epoch 978/1000
331s 662ms/step - loss: 0.0997 - acc: 0.9997 - val_loss: 0.2655 - val_acc: 0.9585
Epoch 979/1000
333s 665ms/step - loss: 0.0994 - acc: 0.9998 - val_loss: 0.2641 - val_acc: 0.9584
Epoch 980/1000
333s 666ms/step - loss: 0.0997 - acc: 0.9996 - val_loss: 0.2647 - val_acc: 0.9588
Epoch 981/1000
331s 662ms/step - loss: 0.0994 - acc: 0.9997 - val_loss: 0.2641 - val_acc: 0.9592
Epoch 982/1000
333s 666ms/step - loss: 0.0997 - acc: 0.9996 - val_loss: 0.2641 - val_acc: 0.9584
Epoch 983/1000
331s 662ms/step - loss: 0.0996 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9604
Epoch 984/1000
334s 667ms/step - loss: 0.0999 - acc: 0.9996 - val_loss: 0.2634 - val_acc: 0.9599
Epoch 985/1000
334s 668ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2633 - val_acc: 0.9595
Epoch 986/1000
334s 668ms/step - loss: 0.0996 - acc: 0.9996 - val_loss: 0.2645 - val_acc: 0.9596
Epoch 987/1000
333s 666ms/step - loss: 0.0994 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9595
Epoch 988/1000
332s 665ms/step - loss: 0.0994 - acc: 0.9997 - val_loss: 0.2637 - val_acc: 0.9598
Epoch 989/1000
333s 666ms/step - loss: 0.0994 - acc: 0.9997 - val_loss: 0.2637 - val_acc: 0.9592
Epoch 990/1000
331s 662ms/step - loss: 0.0994 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9598
Epoch 991/1000
331s 662ms/step - loss: 0.0994 - acc: 0.9997 - val_loss: 0.2637 - val_acc: 0.9596
Epoch 992/1000
331s 662ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9595
Epoch 993/1000
333s 667ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2635 - val_acc: 0.9596
Epoch 994/1000
333s 666ms/step - loss: 0.0993 - acc: 0.9997 - val_loss: 0.2638 - val_acc: 0.9593
Epoch 995/1000
331s 662ms/step - loss: 0.0990 - acc: 0.9998 - val_loss: 0.2639 - val_acc: 0.9595
Epoch 996/1000
333s 666ms/step - loss: 0.0994 - acc: 0.9997 - val_loss: 0.2643 - val_acc: 0.9585
Epoch 997/1000
331s 662ms/step - loss: 0.0993 - acc: 0.9995 - val_loss: 0.2631 - val_acc: 0.9590
Epoch 998/1000
334s 667ms/step - loss: 0.0993 - acc: 0.9996 - val_loss: 0.2632 - val_acc: 0.9590
Epoch 999/1000
331s 662ms/step - loss: 0.0996 - acc: 0.9996 - val_loss: 0.2638 - val_acc: 0.9596
Epoch 1000/1000
333s 666ms/step - loss: 0.0991 - acc: 0.9997 - val_loss: 0.2636 - val_acc: 0.9596
Train loss: 0.0978851483464241
Train accuracy: 0.9999800000190735
Test loss: 0.26395464450120926
Test accuracy: 0.9592000007629394

最终的实验结果是95.92%。其实，在第670个epoch的时候，已经到了96.13%，最后反而降了。

参考文献：
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht, Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2020.2972458, Date of Publication: 13 February 2020

https://ieeexplore.ieee.org/document/8998530