本文介绍哈工大团队提出的一种动态ReLU(Dynamic ReLU)激活函数,即自适应参数化ReLU激活函数,原本是应用在基于一维振动信号的故障诊断,能够让每个样本有自己独特的ReLU参数,在2019年5月3日投稿至IEEE Transactions on Industrial Electronics,2020年1月24日录用,2020年2月13日在IEEE官网公布。

在之前调参记录的基础上,首先,大幅度削减了自适应参数化ReLU中全连接神经元的个数,想着可以减轻训练的难度,也可以减少过拟合;然后,将Epoch增加到1000个,继续测试ResNet+自适应参数化ReLU激活函数在Cifar10上的效果。

自适应参数化ReLU激活函数的基本原理如下:

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
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(2, 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 = 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
413s 826ms/step - loss: 6.7483 - acc: 0.3694 - val_loss: 5.9301 - val_acc: 0.4997
Epoch 2/1000
330s 659ms/step - loss: 5.5312 - acc: 0.4941 - val_loss: 4.9301 - val_acc: 0.5792
Epoch 3/1000
330s 659ms/step - loss: 4.6439 - acc: 0.5593 - val_loss: 4.0912 - val_acc: 0.6487
Epoch 4/1000
329s 659ms/step - loss: 3.9263 - acc: 0.6101 - val_loss: 3.4891 - val_acc: 0.6778
Epoch 5/1000
329s 659ms/step - loss: 3.3595 - acc: 0.6415 - val_loss: 2.9574 - val_acc: 0.7220
Epoch 6/1000
334s 668ms/step - loss: 2.8985 - acc: 0.6704 - val_loss: 2.5622 - val_acc: 0.7322
Epoch 7/1000
330s 660ms/step - loss: 2.5229 - acc: 0.6917 - val_loss: 2.2063 - val_acc: 0.7612
Epoch 8/1000
329s 659ms/step - loss: 2.2063 - acc: 0.7167 - val_loss: 1.9074 - val_acc: 0.7861
Epoch 9/1000
329s 659ms/step - loss: 1.9480 - acc: 0.7339 - val_loss: 1.6790 - val_acc: 0.8023
Epoch 10/1000
330s 659ms/step - loss: 1.7331 - acc: 0.7527 - val_loss: 1.5017 - val_acc: 0.8113
Epoch 11/1000
330s 659ms/step - loss: 1.5656 - acc: 0.7652 - val_loss: 1.3648 - val_acc: 0.8174
Epoch 12/1000
330s 659ms/step - loss: 1.4253 - acc: 0.7756 - val_loss: 1.2259 - val_acc: 0.8327
Epoch 13/1000
329s 659ms/step - loss: 1.3032 - acc: 0.7877 - val_loss: 1.1070 - val_acc: 0.8442
Epoch 14/1000
330s 659ms/step - loss: 1.2136 - acc: 0.7941 - val_loss: 1.0533 - val_acc: 0.8408
Epoch 15/1000
329s 659ms/step - loss: 1.1363 - acc: 0.8009 - val_loss: 0.9825 - val_acc: 0.8517
Epoch 16/1000
331s 661ms/step - loss: 1.0679 - acc: 0.8111 - val_loss: 0.9233 - val_acc: 0.8563
Epoch 17/1000
330s 660ms/step - loss: 1.0143 - acc: 0.8168 - val_loss: 0.8913 - val_acc: 0.8569
Epoch 18/1000
330s 660ms/step - loss: 0.9731 - acc: 0.8215 - val_loss: 0.8578 - val_acc: 0.8561
Epoch 19/1000
330s 660ms/step - loss: 0.9397 - acc: 0.8261 - val_loss: 0.8226 - val_acc: 0.8675
Epoch 20/1000
330s 659ms/step - loss: 0.9073 - acc: 0.8301 - val_loss: 0.7973 - val_acc: 0.8697
Epoch 21/1000
329s 659ms/step - loss: 0.8823 - acc: 0.8342 - val_loss: 0.7837 - val_acc: 0.8693
Epoch 22/1000
331s 662ms/step - loss: 0.8688 - acc: 0.8369 - val_loss: 0.7693 - val_acc: 0.8736
Epoch 23/1000
332s 665ms/step - loss: 0.8479 - acc: 0.8425 - val_loss: 0.7626 - val_acc: 0.8730
Epoch 24/1000
329s 659ms/step - loss: 0.8329 - acc: 0.8453 - val_loss: 0.7745 - val_acc: 0.8671
Epoch 25/1000
330s 660ms/step - loss: 0.8271 - acc: 0.8462 - val_loss: 0.7271 - val_acc: 0.8833
Epoch 26/1000
331s 661ms/step - loss: 0.8121 - acc: 0.8516 - val_loss: 0.7155 - val_acc: 0.8883
Epoch 27/1000
330s 659ms/step - loss: 0.8008 - acc: 0.8543 - val_loss: 0.7522 - val_acc: 0.8707
Epoch 28/1000
330s 659ms/step - loss: 0.7959 - acc: 0.8558 - val_loss: 0.7200 - val_acc: 0.8799
Epoch 29/1000
329s 659ms/step - loss: 0.7937 - acc: 0.8563 - val_loss: 0.7196 - val_acc: 0.8855
Epoch 30/1000
329s 659ms/step - loss: 0.7843 - acc: 0.8602 - val_loss: 0.7285 - val_acc: 0.8808
Epoch 31/1000
330s 659ms/step - loss: 0.7791 - acc: 0.8606 - val_loss: 0.7120 - val_acc: 0.8879
Epoch 32/1000
329s 658ms/step - loss: 0.7781 - acc: 0.8612 - val_loss: 0.7139 - val_acc: 0.8840
Epoch 33/1000
329s 659ms/step - loss: 0.7650 - acc: 0.8660 - val_loss: 0.7243 - val_acc: 0.8814
Epoch 34/1000
329s 658ms/step - loss: 0.7686 - acc: 0.8669 - val_loss: 0.7223 - val_acc: 0.8811
Epoch 35/1000
329s 659ms/step - loss: 0.7694 - acc: 0.8662 - val_loss: 0.6995 - val_acc: 0.8938
Epoch 36/1000
329s 659ms/step - loss: 0.7618 - acc: 0.8679 - val_loss: 0.7032 - val_acc: 0.8919
Epoch 37/1000
329s 658ms/step - loss: 0.7542 - acc: 0.8709 - val_loss: 0.7115 - val_acc: 0.8868
Epoch 38/1000
329s 659ms/step - loss: 0.7525 - acc: 0.8719 - val_loss: 0.7282 - val_acc: 0.8791
Epoch 39/1000
329s 658ms/step - loss: 0.7528 - acc: 0.8727 - val_loss: 0.7046 - val_acc: 0.8898
Epoch 40/1000
329s 658ms/step - loss: 0.7476 - acc: 0.8748 - val_loss: 0.7071 - val_acc: 0.8927
Epoch 41/1000
329s 659ms/step - loss: 0.7429 - acc: 0.8762 - val_loss: 0.7195 - val_acc: 0.8852
Epoch 42/1000
329s 658ms/step - loss: 0.7487 - acc: 0.8758 - val_loss: 0.7064 - val_acc: 0.8936
Epoch 43/1000
329s 658ms/step - loss: 0.7423 - acc: 0.8769 - val_loss: 0.6941 - val_acc: 0.8959
Epoch 44/1000
330s 660ms/step - loss: 0.7357 - acc: 0.8802 - val_loss: 0.7097 - val_acc: 0.8921
Epoch 45/1000
329s 659ms/step - loss: 0.7385 - acc: 0.8796 - val_loss: 0.6845 - val_acc: 0.8997
Epoch 46/1000
332s 664ms/step - loss: 0.7331 - acc: 0.8821 - val_loss: 0.7265 - val_acc: 0.8870
Epoch 47/1000
329s 658ms/step - loss: 0.7358 - acc: 0.8804 - val_loss: 0.7062 - val_acc: 0.8947
Epoch 48/1000
329s 658ms/step - loss: 0.7357 - acc: 0.8812 - val_loss: 0.7007 - val_acc: 0.8932
Epoch 49/1000
329s 658ms/step - loss: 0.7338 - acc: 0.8832 - val_loss: 0.6983 - val_acc: 0.8989
Epoch 50/1000
330s 659ms/step - loss: 0.7268 - acc: 0.8852 - val_loss: 0.7136 - val_acc: 0.8940
Epoch 51/1000
329s 659ms/step - loss: 0.7327 - acc: 0.8845 - val_loss: 0.7076 - val_acc: 0.8957
Epoch 52/1000
329s 658ms/step - loss: 0.7255 - acc: 0.8858 - val_loss: 0.6909 - val_acc: 0.8995
Epoch 53/1000
329s 658ms/step - loss: 0.7298 - acc: 0.8860 - val_loss: 0.7088 - val_acc: 0.8956
Epoch 54/1000
331s 661ms/step - loss: 0.7237 - acc: 0.8884 - val_loss: 0.7069 - val_acc: 0.8960
Epoch 55/1000
329s 659ms/step - loss: 0.7288 - acc: 0.8863 - val_loss: 0.6929 - val_acc: 0.8984
Epoch 56/1000
329s 658ms/step - loss: 0.7208 - acc: 0.8890 - val_loss: 0.6925 - val_acc: 0.9017
Epoch 57/1000
330s 659ms/step - loss: 0.7187 - acc: 0.8898 - val_loss: 0.7150 - val_acc: 0.8944
Epoch 58/1000
330s 659ms/step - loss: 0.7148 - acc: 0.8920 - val_loss: 0.6766 - val_acc: 0.9060
Epoch 59/1000
329s 659ms/step - loss: 0.7185 - acc: 0.8905 - val_loss: 0.7031 - val_acc: 0.8951
Epoch 60/1000
329s 658ms/step - loss: 0.7192 - acc: 0.8904 - val_loss: 0.6956 - val_acc: 0.9020
Epoch 61/1000
329s 659ms/step - loss: 0.7209 - acc: 0.8895 - val_loss: 0.6967 - val_acc: 0.8997
Epoch 62/1000
329s 658ms/step - loss: 0.7083 - acc: 0.8936 - val_loss: 0.6806 - val_acc: 0.9048
Epoch 63/1000
329s 658ms/step - loss: 0.7123 - acc: 0.8926 - val_loss: 0.6832 - val_acc: 0.9042
Epoch 64/1000
329s 658ms/step - loss: 0.7085 - acc: 0.8939 - val_loss: 0.7000 - val_acc: 0.8973
Epoch 65/1000
330s 660ms/step - loss: 0.7049 - acc: 0.8963 - val_loss: 0.6993 - val_acc: 0.8969
Epoch 66/1000
330s 660ms/step - loss: 0.7062 - acc: 0.8950 - val_loss: 0.6977 - val_acc: 0.9044
Epoch 67/1000
329s 659ms/step - loss: 0.7127 - acc: 0.8938 - val_loss: 0.7069 - val_acc: 0.8977
Epoch 68/1000
329s 657ms/step - loss: 0.7010 - acc: 0.8960 - val_loss: 0.7052 - val_acc: 0.8994
Epoch 69/1000
329s 658ms/step - loss: 0.7096 - acc: 0.8934 - val_loss: 0.6982 - val_acc: 0.9027
Epoch 70/1000
329s 658ms/step - loss: 0.7118 - acc: 0.8947 - val_loss: 0.6850 - val_acc: 0.9053
Epoch 71/1000
329s 658ms/step - loss: 0.7076 - acc: 0.8953 - val_loss: 0.6798 - val_acc: 0.9053
Epoch 72/1000
329s 658ms/step - loss: 0.6998 - acc: 0.8981 - val_loss: 0.7312 - val_acc: 0.8905
Epoch 73/1000
329s 658ms/step - loss: 0.7049 - acc: 0.8969 - val_loss: 0.7042 - val_acc: 0.8996
Epoch 74/1000
329s 658ms/step - loss: 0.7094 - acc: 0.8959 - val_loss: 0.6987 - val_acc: 0.9020
Epoch 75/1000
329s 658ms/step - loss: 0.7045 - acc: 0.8963 - val_loss: 0.6909 - val_acc: 0.9056
Epoch 76/1000
329s 658ms/step - loss: 0.7028 - acc: 0.8980 - val_loss: 0.7257 - val_acc: 0.8918
Epoch 77/1000
329s 657ms/step - loss: 0.7059 - acc: 0.8956 - val_loss: 0.6813 - val_acc: 0.9097
Epoch 78/1000
329s 658ms/step - loss: 0.6996 - acc: 0.9006 - val_loss: 0.6942 - val_acc: 0.9081
Epoch 79/1000
329s 658ms/step - loss: 0.6988 - acc: 0.8996 - val_loss: 0.6801 - val_acc: 0.9059
Epoch 80/1000
329s 657ms/step - loss: 0.6983 - acc: 0.8990 - val_loss: 0.6759 - val_acc: 0.9081
Epoch 81/1000
329s 658ms/step - loss: 0.6968 - acc: 0.9012 - val_loss: 0.6868 - val_acc: 0.9052
Epoch 82/1000
329s 658ms/step - loss: 0.6976 - acc: 0.9000 - val_loss: 0.6945 - val_acc: 0.9028
Epoch 83/1000
329s 658ms/step - loss: 0.6974 - acc: 0.8999 - val_loss: 0.7020 - val_acc: 0.9010
Epoch 84/1000
329s 658ms/step - loss: 0.6984 - acc: 0.9003 - val_loss: 0.7220 - val_acc: 0.8956
Epoch 85/1000
329s 658ms/step - loss: 0.7054 - acc: 0.8974 - val_loss: 0.6846 - val_acc: 0.9082
Epoch 86/1000
329s 657ms/step - loss: 0.6974 - acc: 0.9005 - val_loss: 0.6880 - val_acc: 0.9085
Epoch 87/1000
329s 658ms/step - loss: 0.6989 - acc: 0.8998 - val_loss: 0.6956 - val_acc: 0.9035
Epoch 88/1000
329s 658ms/step - loss: 0.7002 - acc: 0.8998 - val_loss: 0.6852 - val_acc: 0.9056
Epoch 89/1000
329s 657ms/step - loss: 0.7005 - acc: 0.9004 - val_loss: 0.6891 - val_acc: 0.9077
Epoch 90/1000
329s 658ms/step - loss: 0.6945 - acc: 0.9030 - val_loss: 0.6880 - val_acc: 0.9071
Epoch 91/1000
329s 658ms/step - loss: 0.6999 - acc: 0.9011 - val_loss: 0.6868 - val_acc: 0.9064
Epoch 92/1000
329s 658ms/step - loss: 0.6976 - acc: 0.9028 - val_loss: 0.6964 - val_acc: 0.9022
Epoch 93/1000
329s 658ms/step - loss: 0.6923 - acc: 0.9045 - val_loss: 0.6712 - val_acc: 0.9126
Epoch 94/1000
329s 657ms/step - loss: 0.6981 - acc: 0.9020 - val_loss: 0.6813 - val_acc: 0.9084
Epoch 95/1000
329s 657ms/step - loss: 0.6952 - acc: 0.9029 - val_loss: 0.6713 - val_acc: 0.9135
Epoch 96/1000
329s 657ms/step - loss: 0.6958 - acc: 0.9032 - val_loss: 0.6835 - val_acc: 0.9084
Epoch 97/1000
329s 657ms/step - loss: 0.6889 - acc: 0.9045 - val_loss: 0.6818 - val_acc: 0.9053
Epoch 98/1000
329s 657ms/step - loss: 0.6997 - acc: 0.9009 - val_loss: 0.6886 - val_acc: 0.9075
Epoch 99/1000
329s 657ms/step - loss: 0.6948 - acc: 0.9029 - val_loss: 0.6872 - val_acc: 0.9057
Epoch 100/1000
329s 657ms/step - loss: 0.6925 - acc: 0.9044 - val_loss: 0.6992 - val_acc: 0.9051
Epoch 101/1000
329s 657ms/step - loss: 0.6948 - acc: 0.9033 - val_loss: 0.7153 - val_acc: 0.8990
Epoch 102/1000
328s 657ms/step - loss: 0.6998 - acc: 0.9025 - val_loss: 0.6735 - val_acc: 0.9155
Epoch 103/1000
329s 657ms/step - loss: 0.6931 - acc: 0.9037 - val_loss: 0.6907 - val_acc: 0.9052
Epoch 104/1000
329s 657ms/step - loss: 0.6941 - acc: 0.9048 - val_loss: 0.7109 - val_acc: 0.9046
Epoch 105/1000
329s 658ms/step - loss: 0.6902 - acc: 0.9066 - val_loss: 0.6744 - val_acc: 0.9114
Epoch 106/1000
329s 657ms/step - loss: 0.6944 - acc: 0.9038 - val_loss: 0.6758 - val_acc: 0.9119
Epoch 107/1000
329s 658ms/step - loss: 0.6895 - acc: 0.9036 - val_loss: 0.7041 - val_acc: 0.9024
Epoch 108/1000
329s 657ms/step - loss: 0.6976 - acc: 0.9026 - val_loss: 0.6959 - val_acc: 0.9065
Epoch 109/1000
329s 657ms/step - loss: 0.6890 - acc: 0.9063 - val_loss: 0.6866 - val_acc: 0.9125
Epoch 110/1000
329s 657ms/step - loss: 0.6897 - acc: 0.9062 - val_loss: 0.6786 - val_acc: 0.9150
Epoch 111/1000
329s 657ms/step - loss: 0.6941 - acc: 0.9061 - val_loss: 0.6870 - val_acc: 0.9100
Epoch 112/1000
329s 657ms/step - loss: 0.6916 - acc: 0.9052 - val_loss: 0.6836 - val_acc: 0.9069
Epoch 113/1000
329s 657ms/step - loss: 0.6908 - acc: 0.9040 - val_loss: 0.6841 - val_acc: 0.9108
Epoch 114/1000
329s 657ms/step - loss: 0.6907 - acc: 0.9059 - val_loss: 0.6831 - val_acc: 0.9102
Epoch 115/1000
328s 657ms/step - loss: 0.6904 - acc: 0.9063 - val_loss: 0.6852 - val_acc: 0.9101
Epoch 116/1000
329s 657ms/step - loss: 0.6940 - acc: 0.9051 - val_loss: 0.6977 - val_acc: 0.9069
Epoch 117/1000
329s 657ms/step - loss: 0.6909 - acc: 0.9075 - val_loss: 0.6904 - val_acc: 0.9110
Epoch 118/1000
329s 658ms/step - loss: 0.6888 - acc: 0.9066 - val_loss: 0.6845 - val_acc: 0.9144
Epoch 119/1000
328s 657ms/step - loss: 0.6890 - acc: 0.9058 - val_loss: 0.6954 - val_acc: 0.9076
Epoch 120/1000
329s 657ms/step - loss: 0.6893 - acc: 0.9059 - val_loss: 0.6790 - val_acc: 0.9125
Epoch 121/1000
329s 657ms/step - loss: 0.6840 - acc: 0.9082 - val_loss: 0.6813 - val_acc: 0.9088
Epoch 122/1000
329s 657ms/step - loss: 0.6966 - acc: 0.9032 - val_loss: 0.6816 - val_acc: 0.9079
Epoch 123/1000
329s 657ms/step - loss: 0.6869 - acc: 0.9093 - val_loss: 0.6970 - val_acc: 0.9057
Epoch 124/1000
329s 657ms/step - loss: 0.6907 - acc: 0.9052 - val_loss: 0.6734 - val_acc: 0.9143
Epoch 125/1000
328s 657ms/step - loss: 0.6886 - acc: 0.9074 - val_loss: 0.6811 - val_acc: 0.9102
Epoch 126/1000
329s 657ms/step - loss: 0.6862 - acc: 0.9082 - val_loss: 0.7166 - val_acc: 0.8981
Epoch 127/1000
329s 657ms/step - loss: 0.6882 - acc: 0.9078 - val_loss: 0.6780 - val_acc: 0.9125
Epoch 128/1000
329s 657ms/step - loss: 0.6972 - acc: 0.9036 - val_loss: 0.6861 - val_acc: 0.9110
Epoch 129/1000
329s 657ms/step - loss: 0.6848 - acc: 0.9099 - val_loss: 0.6905 - val_acc: 0.9069
Epoch 130/1000
329s 657ms/step - loss: 0.6868 - acc: 0.9072 - val_loss: 0.6773 - val_acc: 0.9150
Epoch 131/1000
329s 657ms/step - loss: 0.6915 - acc: 0.9070 - val_loss: 0.6852 - val_acc: 0.9113
Epoch 132/1000
329s 657ms/step - loss: 0.6879 - acc: 0.9075 - val_loss: 0.6821 - val_acc: 0.9116
Epoch 133/1000
328s 657ms/step - loss: 0.6903 - acc: 0.9068 - val_loss: 0.6854 - val_acc: 0.9102
Epoch 134/1000
329s 657ms/step - loss: 0.6888 - acc: 0.9075 - val_loss: 0.6987 - val_acc: 0.9077
Epoch 135/1000
329s 658ms/step - loss: 0.6888 - acc: 0.9074 - val_loss: 0.7070 - val_acc: 0.9055
Epoch 136/1000
329s 657ms/step - loss: 0.6909 - acc: 0.9089 - val_loss: 0.6839 - val_acc: 0.9133
Epoch 137/1000
329s 657ms/step - loss: 0.6866 - acc: 0.9087 - val_loss: 0.6873 - val_acc: 0.9091
Epoch 138/1000
328s 657ms/step - loss: 0.6916 - acc: 0.9067 - val_loss: 0.6984 - val_acc: 0.9073
Epoch 139/1000
329s 658ms/step - loss: 0.6905 - acc: 0.9070 - val_loss: 0.6842 - val_acc: 0.9137
Epoch 140/1000
331s 662ms/step - loss: 0.6863 - acc: 0.9084 - val_loss: 0.6936 - val_acc: 0.9110
Epoch 141/1000
329s 657ms/step - loss: 0.6863 - acc: 0.9090 - val_loss: 0.7201 - val_acc: 0.9043
Epoch 142/1000
328s 657ms/step - loss: 0.6855 - acc: 0.9089 - val_loss: 0.6890 - val_acc: 0.9100
Epoch 143/1000
329s 657ms/step - loss: 0.6881 - acc: 0.9071 - val_loss: 0.6997 - val_acc: 0.9022
Epoch 144/1000
329s 657ms/step - loss: 0.6860 - acc: 0.9087 - val_loss: 0.6794 - val_acc: 0.9121
Epoch 145/1000
328s 657ms/step - loss: 0.6878 - acc: 0.9079 - val_loss: 0.6919 - val_acc: 0.9096
Epoch 146/1000
329s 657ms/step - loss: 0.6860 - acc: 0.9076 - val_loss: 0.6870 - val_acc: 0.9115
Epoch 147/1000
328s 657ms/step - loss: 0.6836 - acc: 0.9112 - val_loss: 0.6757 - val_acc: 0.9140
Epoch 148/1000
329s 658ms/step - loss: 0.6876 - acc: 0.9068 - val_loss: 0.6843 - val_acc: 0.9123
Epoch 149/1000
329s 657ms/step - loss: 0.6857 - acc: 0.9086 - val_loss: 0.6851 - val_acc: 0.9114
Epoch 150/1000
329s 659ms/step - loss: 0.6832 - acc: 0.9096 - val_loss: 0.6798 - val_acc: 0.9142
Epoch 151/1000
329s 659ms/step - loss: 0.6887 - acc: 0.9081 - val_loss: 0.6761 - val_acc: 0.9161
Epoch 152/1000
329s 658ms/step - loss: 0.6850 - acc: 0.9090 - val_loss: 0.7138 - val_acc: 0.9042
Epoch 153/1000
332s 664ms/step - loss: 0.6845 - acc: 0.9101 - val_loss: 0.6783 - val_acc: 0.9137
Epoch 154/1000
330s 659ms/step - loss: 0.6879 - acc: 0.9095 - val_loss: 0.6898 - val_acc: 0.9070
Epoch 155/1000
329s 657ms/step - loss: 0.6820 - acc: 0.9106 - val_loss: 0.6964 - val_acc: 0.9076
Epoch 156/1000
328s 657ms/step - loss: 0.6884 - acc: 0.9078 - val_loss: 0.6919 - val_acc: 0.9089
Epoch 157/1000
328s 657ms/step - loss: 0.6860 - acc: 0.9095 - val_loss: 0.6758 - val_acc: 0.9164
Epoch 158/1000
329s 658ms/step - loss: 0.6853 - acc: 0.9101 - val_loss: 0.6822 - val_acc: 0.9149
Epoch 159/1000
328s 657ms/step - loss: 0.6880 - acc: 0.9086 - val_loss: 0.6964 - val_acc: 0.9101
Epoch 160/1000
328s 657ms/step - loss: 0.6822 - acc: 0.9103 - val_loss: 0.6767 - val_acc: 0.9140
Epoch 161/1000
329s 657ms/step - loss: 0.6826 - acc: 0.9107 - val_loss: 0.6733 - val_acc: 0.9170
Epoch 162/1000
329s 658ms/step - loss: 0.6848 - acc: 0.9104 - val_loss: 0.7111 - val_acc: 0.9036
Epoch 163/1000
329s 657ms/step - loss: 0.6824 - acc: 0.9113 - val_loss: 0.6874 - val_acc: 0.9096
Epoch 164/1000
329s 657ms/step - loss: 0.6804 - acc: 0.9120 - val_loss: 0.6969 - val_acc: 0.9083
Epoch 165/1000
329s 657ms/step - loss: 0.6812 - acc: 0.9108 - val_loss: 0.6867 - val_acc: 0.9105
Epoch 166/1000
331s 663ms/step - loss: 0.6861 - acc: 0.9094 - val_loss: 0.7172 - val_acc: 0.9049
Epoch 167/1000
329s 658ms/step - loss: 0.6872 - acc: 0.9109 - val_loss: 0.7027 - val_acc: 0.9063
Epoch 168/1000
329s 658ms/step - loss: 0.6847 - acc: 0.9110 - val_loss: 0.6851 - val_acc: 0.9128
Epoch 169/1000
329s 657ms/step - loss: 0.6849 - acc: 0.9109 - val_loss: 0.6786 - val_acc: 0.9133
Epoch 170/1000
329s 657ms/step - loss: 0.6848 - acc: 0.9109 - val_loss: 0.6923 - val_acc: 0.9104
Epoch 171/1000
328s 657ms/step - loss: 0.6871 - acc: 0.9104 - val_loss: 0.7007 - val_acc: 0.9083
Epoch 172/1000
328s 657ms/step - loss: 0.6823 - acc: 0.9113 - val_loss: 0.6857 - val_acc: 0.9152
Epoch 173/1000
328s 657ms/step - loss: 0.6827 - acc: 0.9107 - val_loss: 0.6829 - val_acc: 0.9136
Epoch 174/1000
329s 657ms/step - loss: 0.6789 - acc: 0.9118 - val_loss: 0.6929 - val_acc: 0.9096
Epoch 175/1000
329s 658ms/step - loss: 0.6860 - acc: 0.9090 - val_loss: 0.6831 - val_acc: 0.9144
Epoch 176/1000
329s 657ms/step - loss: 0.6852 - acc: 0.9091 - val_loss: 0.6786 - val_acc: 0.9154
Epoch 177/1000
328s 657ms/step - loss: 0.6829 - acc: 0.9107 - val_loss: 0.6841 - val_acc: 0.9128
Epoch 178/1000
329s 657ms/step - loss: 0.6827 - acc: 0.9114 - val_loss: 0.6962 - val_acc: 0.9081
Epoch 179/1000
329s 658ms/step - loss: 0.6837 - acc: 0.9109 - val_loss: 0.6851 - val_acc: 0.9122
Epoch 180/1000
329s 657ms/step - loss: 0.6833 - acc: 0.9107 - val_loss: 0.6863 - val_acc: 0.9092
Epoch 181/1000
330s 659ms/step - loss: 0.6830 - acc: 0.9103 - val_loss: 0.7133 - val_acc: 0.9031
Epoch 182/1000
331s 661ms/step - loss: 0.6879 - acc: 0.9112 - val_loss: 0.6916 - val_acc: 0.9104
Epoch 183/1000
329s 657ms/step - loss: 0.6829 - acc: 0.9098 - val_loss: 0.6945 - val_acc: 0.9089
Epoch 184/1000
328s 657ms/step - loss: 0.6882 - acc: 0.9102 - val_loss: 0.6908 - val_acc: 0.9093
Epoch 185/1000
329s 657ms/step - loss: 0.6816 - acc: 0.9113 - val_loss: 0.6898 - val_acc: 0.9138
Epoch 186/1000
331s 662ms/step - loss: 0.6875 - acc: 0.9095 - val_loss: 0.6690 - val_acc: 0.9201
Epoch 187/1000
329s 659ms/step - loss: 0.6821 - acc: 0.9122 - val_loss: 0.6973 - val_acc: 0.9113
Epoch 188/1000
332s 665ms/step - loss: 0.6854 - acc: 0.9116 - val_loss: 0.6866 - val_acc: 0.9150
Epoch 189/1000
329s 657ms/step - loss: 0.6810 - acc: 0.9117 - val_loss: 0.6731 - val_acc: 0.9184
Epoch 190/1000
329s 657ms/step - loss: 0.6845 - acc: 0.9116 - val_loss: 0.6797 - val_acc: 0.9123
Epoch 191/1000
329s 658ms/step - loss: 0.6849 - acc: 0.9117 - val_loss: 0.6768 - val_acc: 0.9151
Epoch 192/1000
329s 657ms/step - loss: 0.6824 - acc: 0.9126 - val_loss: 0.6717 - val_acc: 0.9180
Epoch 193/1000
329s 657ms/step - loss: 0.6831 - acc: 0.9115 - val_loss: 0.6978 - val_acc: 0.9090
Epoch 194/1000
328s 657ms/step - loss: 0.6871 - acc: 0.9088 - val_loss: 0.6844 - val_acc: 0.9113
Epoch 195/1000
328s 657ms/step - loss: 0.6831 - acc: 0.9120 - val_loss: 0.6968 - val_acc: 0.9118
Epoch 196/1000
329s 657ms/step - loss: 0.6804 - acc: 0.9127 - val_loss: 0.6671 - val_acc: 0.9193
Epoch 197/1000
329s 657ms/step - loss: 0.6792 - acc: 0.9127 - val_loss: 0.6900 - val_acc: 0.9150
Epoch 198/1000
329s 657ms/step - loss: 0.6877 - acc: 0.9094 - val_loss: 0.6898 - val_acc: 0.9117
Epoch 199/1000
329s 657ms/step - loss: 0.6789 - acc: 0.9133 - val_loss: 0.6828 - val_acc: 0.9161
Epoch 200/1000
329s 657ms/step - loss: 0.6834 - acc: 0.9110 - val_loss: 0.6733 - val_acc: 0.9192
Epoch 201/1000
329s 657ms/step - loss: 0.6806 - acc: 0.9131 - val_loss: 0.6693 - val_acc: 0.9196
Epoch 202/1000
331s 662ms/step - loss: 0.6782 - acc: 0.9119 - val_loss: 0.6918 - val_acc: 0.9103
Epoch 203/1000
329s 658ms/step - loss: 0.6822 - acc: 0.9116 - val_loss: 0.7031 - val_acc: 0.9100
Epoch 204/1000
329s 658ms/step - loss: 0.6835 - acc: 0.9123 - val_loss: 0.6968 - val_acc: 0.9090
Epoch 205/1000
329s 658ms/step - loss: 0.6831 - acc: 0.9104 - val_loss: 0.6719 - val_acc: 0.9204
Epoch 206/1000
329s 658ms/step - loss: 0.6806 - acc: 0.9128 - val_loss: 0.6813 - val_acc: 0.9143
Epoch 207/1000
329s 657ms/step - loss: 0.6824 - acc: 0.9116 - val_loss: 0.6830 - val_acc: 0.9131
Epoch 208/1000
329s 658ms/step - loss: 0.6815 - acc: 0.9117 - val_loss: 0.6724 - val_acc: 0.9192
Epoch 209/1000
329s 658ms/step - loss: 0.6813 - acc: 0.9121 - val_loss: 0.6961 - val_acc: 0.9085
Epoch 210/1000
329s 658ms/step - loss: 0.6853 - acc: 0.9102 - val_loss: 0.6890 - val_acc: 0.9138
Epoch 211/1000
329s 658ms/step - loss: 0.6803 - acc: 0.9133 - val_loss: 0.6917 - val_acc: 0.9103
Epoch 212/1000
329s 658ms/step - loss: 0.6768 - acc: 0.9141 - val_loss: 0.6763 - val_acc: 0.9183
Epoch 213/1000
329s 658ms/step - loss: 0.6801 - acc: 0.9120 - val_loss: 0.6743 - val_acc: 0.9174
Epoch 214/1000
329s 658ms/step - loss: 0.6824 - acc: 0.9124 - val_loss: 0.6973 - val_acc: 0.9117
Epoch 215/1000
329s 657ms/step - loss: 0.6877 - acc: 0.9110 - val_loss: 0.6758 - val_acc: 0.9157
Epoch 216/1000
328s 657ms/step - loss: 0.6793 - acc: 0.9135 - val_loss: 0.6639 - val_acc: 0.9190
Epoch 217/1000
329s 657ms/step - loss: 0.6824 - acc: 0.9123 - val_loss: 0.6938 - val_acc: 0.9093
Epoch 218/1000
328s 657ms/step - loss: 0.6773 - acc: 0.9131 - val_loss: 0.6859 - val_acc: 0.9124
Epoch 219/1000
328s 657ms/step - loss: 0.6818 - acc: 0.9137 - val_loss: 0.7022 - val_acc: 0.9091
Epoch 220/1000
329s 657ms/step - loss: 0.6819 - acc: 0.9131 - val_loss: 0.6826 - val_acc: 0.9152
Epoch 221/1000
329s 659ms/step - loss: 0.6844 - acc: 0.9125 - val_loss: 0.6899 - val_acc: 0.9094
Epoch 222/1000
329s 658ms/step - loss: 0.6814 - acc: 0.9133 - val_loss: 0.6745 - val_acc: 0.9186
Epoch 223/1000
329s 658ms/step - loss: 0.6784 - acc: 0.9130 - val_loss: 0.7058 - val_acc: 0.9094
Epoch 224/1000
329s 658ms/step - loss: 0.6797 - acc: 0.9141 - val_loss: 0.6742 - val_acc: 0.9172
Epoch 225/1000
329s 658ms/step - loss: 0.6802 - acc: 0.9136 - val_loss: 0.6896 - val_acc: 0.9130
Epoch 226/1000
329s 658ms/step - loss: 0.6821 - acc: 0.9122 - val_loss: 0.6661 - val_acc: 0.9212
Epoch 227/1000
329s 657ms/step - loss: 0.6805 - acc: 0.9134 - val_loss: 0.6954 - val_acc: 0.9120
Epoch 228/1000
329s 657ms/step - loss: 0.6832 - acc: 0.9128 - val_loss: 0.6933 - val_acc: 0.9108
Epoch 229/1000
329s 658ms/step - loss: 0.6776 - acc: 0.9143 - val_loss: 0.6777 - val_acc: 0.9166
Epoch 230/1000
329s 658ms/step - loss: 0.6824 - acc: 0.9132 - val_loss: 0.7123 - val_acc: 0.9043
Epoch 231/1000
329s 658ms/step - loss: 0.6842 - acc: 0.9124 - val_loss: 0.6955 - val_acc: 0.9111
Epoch 232/1000
329s 657ms/step - loss: 0.6811 - acc: 0.9134 - val_loss: 0.6866 - val_acc: 0.9119
Epoch 233/1000
329s 658ms/step - loss: 0.6755 - acc: 0.9149 - val_loss: 0.7080 - val_acc: 0.9069
Epoch 234/1000
329s 658ms/step - loss: 0.6836 - acc: 0.9119 - val_loss: 0.6990 - val_acc: 0.9106
Epoch 235/1000
329s 658ms/step - loss: 0.6786 - acc: 0.9129 - val_loss: 0.6783 - val_acc: 0.9172
Epoch 236/1000
329s 658ms/step - loss: 0.6811 - acc: 0.9129 - val_loss: 0.6744 - val_acc: 0.9152
Epoch 237/1000
329s 658ms/step - loss: 0.6788 - acc: 0.9139 - val_loss: 0.6812 - val_acc: 0.9161
Epoch 238/1000
329s 658ms/step - loss: 0.6810 - acc: 0.9137 - val_loss: 0.6842 - val_acc: 0.9156
Epoch 239/1000
329s 658ms/step - loss: 0.6890 - acc: 0.9106 - val_loss: 0.6681 - val_acc: 0.9207
Epoch 240/1000
330s 660ms/step - loss: 0.6851 - acc: 0.9133 - val_loss: 0.6813 - val_acc: 0.9190
Epoch 241/1000
329s 659ms/step - loss: 0.6842 - acc: 0.9133 - val_loss: 0.6929 - val_acc: 0.9123
Epoch 242/1000
329s 658ms/step - loss: 0.6745 - acc: 0.9149 - val_loss: 0.6817 - val_acc: 0.9129
Epoch 243/1000
331s 662ms/step - loss: 0.6758 - acc: 0.9148 - val_loss: 0.6810 - val_acc: 0.9154
Epoch 244/1000
329s 658ms/step - loss: 0.6828 - acc: 0.9134 - val_loss: 0.6866 - val_acc: 0.9152
Epoch 245/1000
329s 659ms/step - loss: 0.6802 - acc: 0.9132 - val_loss: 0.6830 - val_acc: 0.9168
Epoch 246/1000
328s 657ms/step - loss: 0.6801 - acc: 0.9139 - val_loss: 0.6893 - val_acc: 0.9139
Epoch 247/1000
328s 657ms/step - loss: 0.6770 - acc: 0.9159 - val_loss: 0.6869 - val_acc: 0.9138
Epoch 248/1000
328s 657ms/step - loss: 0.6771 - acc: 0.9144 - val_loss: 0.6803 - val_acc: 0.9158
Epoch 249/1000
329s 657ms/step - loss: 0.6786 - acc: 0.9138 - val_loss: 0.6931 - val_acc: 0.9087
Epoch 250/1000
328s 657ms/step - loss: 0.6824 - acc: 0.9119 - val_loss: 0.6867 - val_acc: 0.9128
Epoch 251/1000
329s 657ms/step - loss: 0.6748 - acc: 0.9161 - val_loss: 0.6715 - val_acc: 0.9160
Epoch 252/1000
329s 658ms/step - loss: 0.6768 - acc: 0.9149 - val_loss: 0.6969 - val_acc: 0.9104
Epoch 253/1000
331s 663ms/step - loss: 0.6777 - acc: 0.9133 - val_loss: 0.6803 - val_acc: 0.9169
Epoch 254/1000
329s 657ms/step - loss: 0.6785 - acc: 0.9152 - val_loss: 0.6824 - val_acc: 0.9167
Epoch 255/1000
329s 657ms/step - loss: 0.6842 - acc: 0.9134 - val_loss: 0.6889 - val_acc: 0.9136
Epoch 256/1000
328s 657ms/step - loss: 0.6805 - acc: 0.9144 - val_loss: 0.6850 - val_acc: 0.9122
Epoch 257/1000
329s 657ms/step - loss: 0.6799 - acc: 0.9143 - val_loss: 0.6681 - val_acc: 0.9209
Epoch 258/1000
329s 657ms/step - loss: 0.6744 - acc: 0.9152 - val_loss: 0.6823 - val_acc: 0.9170
Epoch 259/1000
328s 657ms/step - loss: 0.6804 - acc: 0.9139 - val_loss: 0.6833 - val_acc: 0.9150
Epoch 260/1000
332s 663ms/step - loss: 0.6776 - acc: 0.9148 - val_loss: 0.6851 - val_acc: 0.9137
Epoch 261/1000
329s 657ms/step - loss: 0.6786 - acc: 0.9142 - val_loss: 0.6813 - val_acc: 0.9166
Epoch 262/1000
328s 657ms/step - loss: 0.6834 - acc: 0.9129 - val_loss: 0.6840 - val_acc: 0.9174
Epoch 263/1000
328s 657ms/step - loss: 0.6761 - acc: 0.9163 - val_loss: 0.6774 - val_acc: 0.9140
Epoch 264/1000
328s 657ms/step - loss: 0.6754 - acc: 0.9142 - val_loss: 0.6793 - val_acc: 0.9166
Epoch 265/1000
332s 663ms/step - loss: 0.6817 - acc: 0.9137 - val_loss: 0.7218 - val_acc: 0.9043
Epoch 266/1000
329s 657ms/step - loss: 0.6812 - acc: 0.9142 - val_loss: 0.6807 - val_acc: 0.9142
Epoch 267/1000
328s 656ms/step - loss: 0.6719 - acc: 0.9164 - val_loss: 0.6801 - val_acc: 0.9183
Epoch 268/1000
330s 659ms/step - loss: 0.6768 - acc: 0.9142 - val_loss: 0.6874 - val_acc: 0.9134
Epoch 269/1000
329s 658ms/step - loss: 0.6747 - acc: 0.9157 - val_loss: 0.6954 - val_acc: 0.9114
Epoch 270/1000
329s 658ms/step - loss: 0.6737 - acc: 0.9150 - val_loss: 0.6955 - val_acc: 0.9102
Epoch 271/1000
328s 656ms/step - loss: 0.6770 - acc: 0.9148 - val_loss: 0.6853 - val_acc: 0.9104
Epoch 272/1000
328s 656ms/step - loss: 0.6785 - acc: 0.9139 - val_loss: 0.6960 - val_acc: 0.9134
Epoch 273/1000
328s 656ms/step - loss: 0.6830 - acc: 0.9136 - val_loss: 0.6851 - val_acc: 0.9141
Epoch 274/1000
328s 656ms/step - loss: 0.6784 - acc: 0.9143 - val_loss: 0.6921 - val_acc: 0.9119
Epoch 275/1000
328s 656ms/step - loss: 0.6786 - acc: 0.9135 - val_loss: 0.6974 - val_acc: 0.9074
Epoch 276/1000
329s 659ms/step - loss: 0.6739 - acc: 0.9164 - val_loss: 0.6864 - val_acc: 0.9137
Epoch 277/1000
329s 658ms/step - loss: 0.6805 - acc: 0.9154 - val_loss: 0.7002 - val_acc: 0.9091
Epoch 278/1000
329s 658ms/step - loss: 0.6839 - acc: 0.9110 - val_loss: 0.6873 - val_acc: 0.9170
Epoch 279/1000
329s 657ms/step - loss: 0.6806 - acc: 0.9142 - val_loss: 0.6887 - val_acc: 0.9139
Epoch 280/1000
329s 658ms/step - loss: 0.6830 - acc: 0.9149 - val_loss: 0.6858 - val_acc: 0.9136
Epoch 281/1000
329s 658ms/step - loss: 0.6815 - acc: 0.9150 - val_loss: 0.7072 - val_acc: 0.9102
Epoch 282/1000
329s 658ms/step - loss: 0.6824 - acc: 0.9150 - val_loss: 0.6886 - val_acc: 0.9141
Epoch 283/1000
329s 658ms/step - loss: 0.6759 - acc: 0.9165 - val_loss: 0.6684 - val_acc: 0.9154
Epoch 284/1000
329s 658ms/step - loss: 0.6777 - acc: 0.9159 - val_loss: 0.6890 - val_acc: 0.9133
Epoch 285/1000
329s 658ms/step - loss: 0.6739 - acc: 0.9146 - val_loss: 0.6872 - val_acc: 0.9134
Epoch 286/1000
329s 657ms/step - loss: 0.6761 - acc: 0.9160 - val_loss: 0.6999 - val_acc: 0.9128
Epoch 287/1000
329s 658ms/step - loss: 0.6830 - acc: 0.9131 - val_loss: 0.7030 - val_acc: 0.9074
Epoch 288/1000
329s 659ms/step - loss: 0.6833 - acc: 0.9146 - val_loss: 0.6731 - val_acc: 0.9201
Epoch 289/1000
329s 657ms/step - loss: 0.6811 - acc: 0.9156 - val_loss: 0.6852 - val_acc: 0.9137
Epoch 290/1000
329s 658ms/step - loss: 0.6783 - acc: 0.9158 - val_loss: 0.6965 - val_acc: 0.9127
Epoch 291/1000
329s 658ms/step - loss: 0.6793 - acc: 0.9147 - val_loss: 0.7039 - val_acc: 0.9103
Epoch 292/1000
329s 657ms/step - loss: 0.6802 - acc: 0.9141 - val_loss: 0.6988 - val_acc: 0.9117
Epoch 293/1000
329s 658ms/step - loss: 0.6731 - acc: 0.9181 - val_loss: 0.6805 - val_acc: 0.9176
Epoch 294/1000
329s 657ms/step - loss: 0.6777 - acc: 0.9160 - val_loss: 0.6879 - val_acc: 0.9152
Epoch 295/1000
329s 658ms/step - loss: 0.6797 - acc: 0.9135 - val_loss: 0.7164 - val_acc: 0.9047
Epoch 296/1000
329s 658ms/step - loss: 0.6779 - acc: 0.9155 - val_loss: 0.7147 - val_acc: 0.9053
Epoch 297/1000
329s 658ms/step - loss: 0.6819 - acc: 0.9145 - val_loss: 0.6997 - val_acc: 0.9125
Epoch 298/1000
329s 658ms/step - loss: 0.6778 - acc: 0.9159 - val_loss: 0.6868 - val_acc: 0.9186
Epoch 299/1000
329s 658ms/step - loss: 0.6737 - acc: 0.9162 - val_loss: 0.7111 - val_acc: 0.9053
Epoch 300/1000
329s 658ms/step - loss: 0.6785 - acc: 0.9150 - val_loss: 0.6837 - val_acc: 0.9176
Epoch 301/1000
lr changed to 0.010000000149011612
329s 657ms/step - loss: 0.5770 - acc: 0.9504 - val_loss: 0.5992 - val_acc: 0.9421
Epoch 302/1000
329s 657ms/step - loss: 0.5208 - acc: 0.9675 - val_loss: 0.5883 - val_acc: 0.9469
Epoch 303/1000
329s 657ms/step - loss: 0.4996 - acc: 0.9727 - val_loss: 0.5778 - val_acc: 0.9466
Epoch 304/1000
329s 658ms/step - loss: 0.4859 - acc: 0.9737 - val_loss: 0.5660 - val_acc: 0.9480
Epoch 305/1000
329s 657ms/step - loss: 0.4716 - acc: 0.9773 - val_loss: 0.5623 - val_acc: 0.9476
Epoch 306/1000
329s 657ms/step - loss: 0.4561 - acc: 0.9802 - val_loss: 0.5534 - val_acc: 0.9496
Epoch 307/1000
329s 657ms/step - loss: 0.4473 - acc: 0.9807 - val_loss: 0.5434 - val_acc: 0.9488
Epoch 308/1000
329s 657ms/step - loss: 0.4373 - acc: 0.9814 - val_loss: 0.5413 - val_acc: 0.9494
Epoch 309/1000
329s 658ms/step - loss: 0.4271 - acc: 0.9827 - val_loss: 0.5359 - val_acc: 0.9481
Epoch 310/1000
329s 657ms/step - loss: 0.4173 - acc: 0.9838 - val_loss: 0.5266 - val_acc: 0.9509
Epoch 311/1000
329s 657ms/step - loss: 0.4078 - acc: 0.9856 - val_loss: 0.5195 - val_acc: 0.9496
Epoch 312/1000
329s 657ms/step - loss: 0.4022 - acc: 0.9846 - val_loss: 0.5200 - val_acc: 0.9493
Epoch 313/1000
329s 658ms/step - loss: 0.3934 - acc: 0.9860 - val_loss: 0.5136 - val_acc: 0.9505
Epoch 314/1000
329s 657ms/step - loss: 0.3863 - acc: 0.9862 - val_loss: 0.5125 - val_acc: 0.9480
Epoch 315/1000
329s 657ms/step - loss: 0.3784 - acc: 0.9875 - val_loss: 0.5041 - val_acc: 0.9503
Epoch 316/1000
329s 657ms/step - loss: 0.3740 - acc: 0.9866 - val_loss: 0.5026 - val_acc: 0.9485
Epoch 317/1000
328s 657ms/step - loss: 0.3689 - acc: 0.9867 - val_loss: 0.4907 - val_acc: 0.9518
Epoch 318/1000
329s 657ms/step - loss: 0.3607 - acc: 0.9878 - val_loss: 0.4934 - val_acc: 0.9506
Epoch 319/1000
330s 659ms/step - loss: 0.3558 - acc: 0.9873 - val_loss: 0.4836 - val_acc: 0.9503
Epoch 320/1000
329s 657ms/step - loss: 0.3465 - acc: 0.9890 - val_loss: 0.4787 - val_acc: 0.9514
Epoch 321/1000
328s 657ms/step - loss: 0.3427 - acc: 0.9891 - val_loss: 0.4784 - val_acc: 0.9509
Epoch 322/1000
331s 663ms/step - loss: 0.3382 - acc: 0.9890 - val_loss: 0.4716 - val_acc: 0.9506
Epoch 323/1000
329s 658ms/step - loss: 0.3314 - acc: 0.9894 - val_loss: 0.4708 - val_acc: 0.9509
Epoch 324/1000
329s 657ms/step - loss: 0.3292 - acc: 0.9892 - val_loss: 0.4612 - val_acc: 0.9534
Epoch 325/1000
329s 657ms/step - loss: 0.3212 - acc: 0.9900 - val_loss: 0.4520 - val_acc: 0.9509
Epoch 326/1000
328s 657ms/step - loss: 0.3152 - acc: 0.9903 - val_loss: 0.4612 - val_acc: 0.9474
Epoch 327/1000
332s 663ms/step - loss: 0.3132 - acc: 0.9898 - val_loss: 0.4641 - val_acc: 0.9496
Epoch 328/1000
329s 657ms/step - loss: 0.3069 - acc: 0.9902 - val_loss: 0.4569 - val_acc: 0.9486
Epoch 329/1000
328s 657ms/step - loss: 0.3031 - acc: 0.9903 - val_loss: 0.4423 - val_acc: 0.9518
Epoch 330/1000
328s 657ms/step - loss: 0.2982 - acc: 0.9912 - val_loss: 0.4525 - val_acc: 0.9481
Epoch 331/1000
328s 657ms/step - loss: 0.2959 - acc: 0.9901 - val_loss: 0.4381 - val_acc: 0.9503
Epoch 332/1000
328s 656ms/step - loss: 0.2898 - acc: 0.9912 - val_loss: 0.4353 - val_acc: 0.9500
Epoch 333/1000
328s 656ms/step - loss: 0.2859 - acc: 0.9912 - val_loss: 0.4339 - val_acc: 0.9501
Epoch 334/1000
328s 657ms/step - loss: 0.2828 - acc: 0.9906 - val_loss: 0.4305 - val_acc: 0.9490
Epoch 335/1000
329s 657ms/step - loss: 0.2783 - acc: 0.9907 - val_loss: 0.4230 - val_acc: 0.9503
Epoch 336/1000
328s 657ms/step - loss: 0.2781 - acc: 0.9898 - val_loss: 0.4222 - val_acc: 0.9493
Epoch 337/1000
329s 657ms/step - loss: 0.2726 - acc: 0.9908 - val_loss: 0.4270 - val_acc: 0.9477
Epoch 338/1000
328s 657ms/step - loss: 0.2687 - acc: 0.9911 - val_loss: 0.4215 - val_acc: 0.9448
Epoch 339/1000
328s 657ms/step - loss: 0.2673 - acc: 0.9905 - val_loss: 0.4133 - val_acc: 0.9483
Epoch 340/1000
328s 657ms/step - loss: 0.2617 - acc: 0.9911 - val_loss: 0.4149 - val_acc: 0.9478
Epoch 341/1000
328s 657ms/step - loss: 0.2602 - acc: 0.9913 - val_loss: 0.4231 - val_acc: 0.9440
Epoch 342/1000
328s 657ms/step - loss: 0.2589 - acc: 0.9900 - val_loss: 0.4154 - val_acc: 0.9473
Epoch 343/1000
328s 657ms/step - loss: 0.2541 - acc: 0.9909 - val_loss: 0.4021 - val_acc: 0.9478
Epoch 344/1000
328s 657ms/step - loss: 0.2513 - acc: 0.9909 - val_loss: 0.4091 - val_acc: 0.9475
Epoch 345/1000
328s 657ms/step - loss: 0.2505 - acc: 0.9900 - val_loss: 0.4080 - val_acc: 0.9456
Epoch 346/1000
328s 657ms/step - loss: 0.2472 - acc: 0.9906 - val_loss: 0.3935 - val_acc: 0.9482
Epoch 347/1000
328s 656ms/step - loss: 0.2437 - acc: 0.9906 - val_loss: 0.3987 - val_acc: 0.9493
Epoch 348/1000
328s 656ms/step - loss: 0.2421 - acc: 0.9903 - val_loss: 0.3932 - val_acc: 0.9485
Epoch 349/1000
328s 656ms/step - loss: 0.2368 - acc: 0.9912 - val_loss: 0.3914 - val_acc: 0.9464
Epoch 350/1000
328s 657ms/step - loss: 0.2344 - acc: 0.9916 - val_loss: 0.3882 - val_acc: 0.9518
Epoch 351/1000
328s 657ms/step - loss: 0.2372 - acc: 0.9898 - val_loss: 0.3939 - val_acc: 0.9494
Epoch 352/1000
328s 657ms/step - loss: 0.2300 - acc: 0.9916 - val_loss: 0.3815 - val_acc: 0.9498
Epoch 353/1000
328s 657ms/step - loss: 0.2291 - acc: 0.9910 - val_loss: 0.3883 - val_acc: 0.9481
Epoch 354/1000
328s 657ms/step - loss: 0.2283 - acc: 0.9906 - val_loss: 0.3821 - val_acc: 0.9494
Epoch 355/1000
328s 657ms/step - loss: 0.2276 - acc: 0.9902 - val_loss: 0.3774 - val_acc: 0.9492
Epoch 356/1000
328s 657ms/step - loss: 0.2281 - acc: 0.9894 - val_loss: 0.3822 - val_acc: 0.9473
Epoch 357/1000
328s 657ms/step - loss: 0.2223 - acc: 0.9907 - val_loss: 0.3756 - val_acc: 0.9491
Epoch 358/1000
328s 657ms/step - loss: 0.2216 - acc: 0.9904 - val_loss: 0.3771 - val_acc: 0.9477
Epoch 359/1000
328s 657ms/step - loss: 0.2188 - acc: 0.9912 - val_loss: 0.3739 - val_acc: 0.9495
Epoch 360/1000
328s 657ms/step - loss: 0.2189 - acc: 0.9901 - val_loss: 0.3738 - val_acc: 0.9475
Epoch 361/1000
328s 657ms/step - loss: 0.2168 - acc: 0.9902 - val_loss: 0.3730 - val_acc: 0.9481
Epoch 362/1000
328s 657ms/step - loss: 0.2173 - acc: 0.9899 - val_loss: 0.3589 - val_acc: 0.9504
Epoch 363/1000
328s 657ms/step - loss: 0.2128 - acc: 0.9904 - val_loss: 0.3682 - val_acc: 0.9472
Epoch 364/1000
330s 659ms/step - loss: 0.2124 - acc: 0.9904 - val_loss: 0.3653 - val_acc: 0.9479
Epoch 365/1000
330s 660ms/step - loss: 0.2117 - acc: 0.9894 - val_loss: 0.3719 - val_acc: 0.9450
Epoch 366/1000
329s 659ms/step - loss: 0.2108 - acc: 0.9899 - val_loss: 0.3576 - val_acc: 0.9490
Epoch 367/1000
329s 658ms/step - loss: 0.2106 - acc: 0.9895 - val_loss: 0.3704 - val_acc: 0.9456
Epoch 368/1000
329s 657ms/step - loss: 0.2081 - acc: 0.9895 - val_loss: 0.3577 - val_acc: 0.9466
Epoch 369/1000
328s 657ms/step - loss: 0.2038 - acc: 0.9904 - val_loss: 0.3626 - val_acc: 0.9471
Epoch 370/1000
328s 657ms/step - loss: 0.2059 - acc: 0.9898 - val_loss: 0.3613 - val_acc: 0.9491
Epoch 371/1000
328s 657ms/step - loss: 0.2059 - acc: 0.9898 - val_loss: 0.3732 - val_acc: 0.9465
Epoch 372/1000
328s 657ms/step - loss: 0.2048 - acc: 0.9894 - val_loss: 0.3616 - val_acc: 0.9457
Epoch 373/1000
328s 657ms/step - loss: 0.2022 - acc: 0.9900 - val_loss: 0.3588 - val_acc: 0.9481
Epoch 374/1000
328s 657ms/step - loss: 0.2023 - acc: 0.9895 - val_loss: 0.3583 - val_acc: 0.9484
Epoch 375/1000
329s 657ms/step - loss: 0.2013 - acc: 0.9900 - val_loss: 0.3643 - val_acc: 0.9455
Epoch 376/1000
329s 657ms/step - loss: 0.2018 - acc: 0.9891 - val_loss: 0.3557 - val_acc: 0.9478
Epoch 377/1000
328s 657ms/step - loss: 0.2003 - acc: 0.9895 - val_loss: 0.3644 - val_acc: 0.9445
Epoch 378/1000
328s 656ms/step - loss: 0.2023 - acc: 0.9884 - val_loss: 0.3578 - val_acc: 0.9476
Epoch 379/1000
328s 657ms/step - loss: 0.1998 - acc: 0.9888 - val_loss: 0.3567 - val_acc: 0.9454
Epoch 380/1000
332s 664ms/step - loss: 0.1991 - acc: 0.9893 - val_loss: 0.3600 - val_acc: 0.9451
Epoch 381/1000
329s 657ms/step - loss: 0.1950 - acc: 0.9900 - val_loss: 0.3538 - val_acc: 0.9468
Epoch 382/1000
329s 657ms/step - loss: 0.1961 - acc: 0.9890 - val_loss: 0.3451 - val_acc: 0.9468
Epoch 383/1000
328s 657ms/step - loss: 0.1977 - acc: 0.9884 - val_loss: 0.3535 - val_acc: 0.9432
Epoch 384/1000
328s 657ms/step - loss: 0.1958 - acc: 0.9891 - val_loss: 0.3577 - val_acc: 0.9419
Epoch 385/1000
328s 657ms/step - loss: 0.1961 - acc: 0.9887 - val_loss: 0.3571 - val_acc: 0.9452
Epoch 386/1000
329s 657ms/step - loss: 0.1943 - acc: 0.9889 - val_loss: 0.3603 - val_acc: 0.9442
Epoch 387/1000
328s 657ms/step - loss: 0.1981 - acc: 0.9869 - val_loss: 0.3641 - val_acc: 0.9416
Epoch 388/1000
328s 657ms/step - loss: 0.1949 - acc: 0.9887 - val_loss: 0.3548 - val_acc: 0.9432
Epoch 389/1000
329s 657ms/step - loss: 0.1933 - acc: 0.9887 - val_loss: 0.3459 - val_acc: 0.9449
Epoch 390/1000
329s 657ms/step - loss: 0.1939 - acc: 0.9885 - val_loss: 0.3379 - val_acc: 0.9466
Epoch 391/1000
329s 657ms/step - loss: 0.1938 - acc: 0.9884 - val_loss: 0.3575 - val_acc: 0.9433
Epoch 392/1000
329s 657ms/step - loss: 0.1972 - acc: 0.9868 - val_loss: 0.3548 - val_acc: 0.9441
Epoch 393/1000
329s 657ms/step - loss: 0.1943 - acc: 0.9881 - val_loss: 0.3556 - val_acc: 0.9435
Epoch 394/1000
329s 658ms/step - loss: 0.1933 - acc: 0.9886 - val_loss: 0.3489 - val_acc: 0.9457
Epoch 395/1000
328s 657ms/step - loss: 0.1926 - acc: 0.9884 - val_loss: 0.3485 - val_acc: 0.9440
Epoch 396/1000
328s 657ms/step - loss: 0.1903 - acc: 0.9885 - val_loss: 0.3540 - val_acc: 0.9446
Epoch 397/1000
330s 659ms/step - loss: 0.1913 - acc: 0.9885 - val_loss: 0.3534 - val_acc: 0.9427
Epoch 398/1000
329s 658ms/step - loss: 0.1897 - acc: 0.9885 - val_loss: 0.3375 - val_acc: 0.9464
Epoch 399/1000
329s 657ms/step - loss: 0.1927 - acc: 0.9875 - val_loss: 0.3494 - val_acc: 0.9444
Epoch 400/1000
328s 657ms/step - loss: 0.1917 - acc: 0.9881 - val_loss: 0.3432 - val_acc: 0.9447
Epoch 401/1000
328s 657ms/step - loss: 0.1877 - acc: 0.9894 - val_loss: 0.3430 - val_acc: 0.9449
Epoch 402/1000
328s 657ms/step - loss: 0.1900 - acc: 0.9884 - val_loss: 0.3664 - val_acc: 0.9419
Epoch 403/1000
329s 657ms/step - loss: 0.1913 - acc: 0.9875 - val_loss: 0.3469 - val_acc: 0.9459
Epoch 404/1000
329s 657ms/step - loss: 0.1924 - acc: 0.9872 - val_loss: 0.3547 - val_acc: 0.9452
Epoch 405/1000
328s 657ms/step - loss: 0.1900 - acc: 0.9887 - val_loss: 0.3501 - val_acc: 0.9441
Epoch 406/1000
328s 657ms/step - loss: 0.1911 - acc: 0.9872 - val_loss: 0.3573 - val_acc: 0.9431
Epoch 407/1000
329s 657ms/step - loss: 0.1874 - acc: 0.9886 - val_loss: 0.3519 - val_acc: 0.9460
Epoch 408/1000
329s 657ms/step - loss: 0.1926 - acc: 0.9870 - val_loss: 0.3478 - val_acc: 0.9462
Epoch 409/1000
329s 657ms/step - loss: 0.1916 - acc: 0.9869 - val_loss: 0.3500 - val_acc: 0.9449
Epoch 410/1000
328s 657ms/step - loss: 0.1915 - acc: 0.9870 - val_loss: 0.3512 - val_acc: 0.9452
Epoch 411/1000
329s 658ms/step - loss: 0.1876 - acc: 0.9886 - val_loss: 0.3431 - val_acc: 0.9435
Epoch 412/1000
331s 662ms/step - loss: 0.1951 - acc: 0.9859 - val_loss: 0.3366 - val_acc: 0.9466
Epoch 413/1000
329s 657ms/step - loss: 0.1895 - acc: 0.9876 - val_loss: 0.3440 - val_acc: 0.9437
Epoch 414/1000
328s 657ms/step - loss: 0.1882 - acc: 0.9882 - val_loss: 0.3619 - val_acc: 0.9400
Epoch 415/1000
328s 657ms/step - loss: 0.1893 - acc: 0.9880 - val_loss: 0.3529 - val_acc: 0.9424
Epoch 416/1000
328s 657ms/step - loss: 0.1877 - acc: 0.9880 - val_loss: 0.3540 - val_acc: 0.9433
Epoch 417/1000
329s 657ms/step - loss: 0.1873 - acc: 0.9884 - val_loss: 0.3545 - val_acc: 0.9424
Epoch 418/1000
329s 657ms/step - loss: 0.1889 - acc: 0.9874 - val_loss: 0.3537 - val_acc: 0.9426
Epoch 419/1000
329s 657ms/step - loss: 0.1903 - acc: 0.9871 - val_loss: 0.3464 - val_acc: 0.9459
Epoch 420/1000
328s 657ms/step - loss: 0.1900 - acc: 0.9874 - val_loss: 0.3565 - val_acc: 0.9428
Epoch 421/1000
329s 657ms/step - loss: 0.1872 - acc: 0.9884 - val_loss: 0.3565 - val_acc: 0.9424
Epoch 422/1000
330s 659ms/step - loss: 0.1890 - acc: 0.9875 - val_loss: 0.3470 - val_acc: 0.9450
Epoch 423/1000
329s 658ms/step - loss: 0.1864 - acc: 0.9879 - val_loss: 0.3528 - val_acc: 0.9424
Epoch 424/1000
328s 657ms/step - loss: 0.1845 - acc: 0.9890 - val_loss: 0.3499 - val_acc: 0.9438
Epoch 425/1000
329s 658ms/step - loss: 0.1873 - acc: 0.9874 - val_loss: 0.3495 - val_acc: 0.9447
Epoch 426/1000
330s 661ms/step - loss: 0.1891 - acc: 0.9871 - val_loss: 0.3605 - val_acc: 0.9415
Epoch 427/1000
330s 661ms/step - loss: 0.1843 - acc: 0.9887 - val_loss: 0.3556 - val_acc: 0.9409
Epoch 428/1000
330s 659ms/step - loss: 0.1882 - acc: 0.9872 - val_loss: 0.3518 - val_acc: 0.9433
Epoch 429/1000
329s 657ms/step - loss: 0.1841 - acc: 0.9892 - val_loss: 0.3497 - val_acc: 0.9436
Epoch 430/1000
329s 657ms/step - loss: 0.1851 - acc: 0.9885 - val_loss: 0.3550 - val_acc: 0.9421
Epoch 431/1000
328s 657ms/step - loss: 0.1887 - acc: 0.9871 - val_loss: 0.3536 - val_acc: 0.9416
Epoch 432/1000
329s 657ms/step - loss: 0.1885 - acc: 0.9872 - val_loss: 0.3466 - val_acc: 0.9428
Epoch 433/1000
328s 657ms/step - loss: 0.1879 - acc: 0.9874 - val_loss: 0.3522 - val_acc: 0.9425
Epoch 434/1000
329s 658ms/step - loss: 0.1856 - acc: 0.9881 - val_loss: 0.3519 - val_acc: 0.9423
Epoch 435/1000
328s 657ms/step - loss: 0.1839 - acc: 0.9889 - val_loss: 0.3726 - val_acc: 0.9383
Epoch 436/1000
328s 657ms/step - loss: 0.1902 - acc: 0.9861 - val_loss: 0.3510 - val_acc: 0.9399
Epoch 437/1000
329s 658ms/step - loss: 0.1854 - acc: 0.9882 - val_loss: 0.3482 - val_acc: 0.9414
Epoch 438/1000
328s 657ms/step - loss: 0.1847 - acc: 0.9883 - val_loss: 0.3570 - val_acc: 0.9415
Epoch 439/1000
328s 657ms/step - loss: 0.1857 - acc: 0.9884 - val_loss: 0.3522 - val_acc: 0.9433
Epoch 440/1000
329s 657ms/step - loss: 0.1839 - acc: 0.9888 - val_loss: 0.3434 - val_acc: 0.9442
Epoch 441/1000
328s 657ms/step - loss: 0.1876 - acc: 0.9874 - val_loss: 0.3512 - val_acc: 0.9401
Epoch 442/1000
329s 657ms/step - loss: 0.1866 - acc: 0.9877 - val_loss: 0.3548 - val_acc: 0.9422
Epoch 443/1000
334s 669ms/step - loss: 0.1852 - acc: 0.9883 - val_loss: 0.3458 - val_acc: 0.9443
Epoch 444/1000
329s 658ms/step - loss: 0.1884 - acc: 0.9870 - val_loss: 0.3534 - val_acc: 0.9417
Epoch 445/1000
328s 657ms/step - loss: 0.1840 - acc: 0.9885 - val_loss: 0.3517 - val_acc: 0.9419
Epoch 446/1000
329s 657ms/step - loss: 0.1839 - acc: 0.9885 - val_loss: 0.3501 - val_acc: 0.9439
Epoch 447/1000
328s 657ms/step - loss: 0.1840 - acc: 0.9883 - val_loss: 0.3399 - val_acc: 0.9455
Epoch 448/1000
329s 657ms/step - loss: 0.1835 - acc: 0.9883 - val_loss: 0.3629 - val_acc: 0.9417
Epoch 449/1000
330s 659ms/step - loss: 0.1815 - acc: 0.9896 - val_loss: 0.3553 - val_acc: 0.9434
Epoch 450/1000
329s 658ms/step - loss: 0.1841 - acc: 0.9877 - val_loss: 0.3474 - val_acc: 0.9454
Epoch 451/1000
330s 660ms/step - loss: 0.1816 - acc: 0.9890 - val_loss: 0.3567 - val_acc: 0.9397
Epoch 452/1000
330s 660ms/step - loss: 0.1836 - acc: 0.9883 - val_loss: 0.3364 - val_acc: 0.9469
Epoch 453/1000
329s 658ms/step - loss: 0.1818 - acc: 0.9886 - val_loss: 0.3436 - val_acc: 0.9454
Epoch 454/1000
329s 658ms/step - loss: 0.1781 - acc: 0.9902 - val_loss: 0.3314 - val_acc: 0.9465
Epoch 455/1000
329s 657ms/step - loss: 0.1814 - acc: 0.9884 - val_loss: 0.3400 - val_acc: 0.9446
Epoch 456/1000
329s 657ms/step - loss: 0.1825 - acc: 0.9884 - val_loss: 0.3421 - val_acc: 0.9442
Epoch 457/1000
329s 657ms/step - loss: 0.1848 - acc: 0.9873 - val_loss: 0.3504 - val_acc: 0.9433
Epoch 458/1000
328s 657ms/step - loss: 0.1817 - acc: 0.9886 - val_loss: 0.3600 - val_acc: 0.9422
Epoch 459/1000
329s 657ms/step - loss: 0.1861 - acc: 0.9872 - val_loss: 0.3680 - val_acc: 0.9384
Epoch 460/1000
329s 659ms/step - loss: 0.1831 - acc: 0.9879 - val_loss: 0.3521 - val_acc: 0.9419
Epoch 461/1000
329s 658ms/step - loss: 0.1844 - acc: 0.9877 - val_loss: 0.3513 - val_acc: 0.9403
Epoch 462/1000
328s 657ms/step - loss: 0.1837 - acc: 0.9879 - val_loss: 0.3626 - val_acc: 0.9387
Epoch 463/1000
328s 657ms/step - loss: 0.1812 - acc: 0.9887 - val_loss: 0.3557 - val_acc: 0.9431
Epoch 464/1000
329s 657ms/step - loss: 0.1848 - acc: 0.9875 - val_loss: 0.3440 - val_acc: 0.9448
Epoch 465/1000
328s 657ms/step - loss: 0.1801 - acc: 0.9894 - val_loss: 0.3510 - val_acc: 0.9440
Epoch 466/1000
328s 657ms/step - loss: 0.1853 - acc: 0.9875 - val_loss: 0.3525 - val_acc: 0.9391
Epoch 467/1000
329s 657ms/step - loss: 0.1828 - acc: 0.9883 - val_loss: 0.3530 - val_acc: 0.9422
Epoch 468/1000
328s 657ms/step - loss: 0.1820 - acc: 0.9886 - val_loss: 0.3529 - val_acc: 0.9403
Epoch 469/1000
328s 657ms/step - loss: 0.1795 - acc: 0.9895 - val_loss: 0.3502 - val_acc: 0.9428
Epoch 470/1000
328s 657ms/step - loss: 0.1820 - acc: 0.9882 - val_loss: 0.3575 - val_acc: 0.9421
Epoch 471/1000
329s 657ms/step - loss: 0.1801 - acc: 0.9892 - val_loss: 0.3509 - val_acc: 0.9416
Epoch 472/1000
329s 657ms/step - loss: 0.1813 - acc: 0.9887 - val_loss: 0.3361 - val_acc: 0.9469
Epoch 473/1000
329s 658ms/step - loss: 0.1789 - acc: 0.9895 - val_loss: 0.3589 - val_acc: 0.9412
Epoch 474/1000
329s 657ms/step - loss: 0.1848 - acc: 0.9867 - val_loss: 0.3478 - val_acc: 0.9427
Epoch 475/1000
328s 657ms/step - loss: 0.1810 - acc: 0.9894 - val_loss: 0.3494 - val_acc: 0.9436
Epoch 476/1000
329s 657ms/step - loss: 0.1837 - acc: 0.9876 - val_loss: 0.3572 - val_acc: 0.9415
Epoch 477/1000
328s 657ms/step - loss: 0.1795 - acc: 0.9898 - val_loss: 0.3572 - val_acc: 0.9409
Epoch 478/1000
329s 657ms/step - loss: 0.1797 - acc: 0.9897 - val_loss: 0.3639 - val_acc: 0.9373
Epoch 479/1000
329s 657ms/step - loss: 0.1801 - acc: 0.9891 - val_loss: 0.3454 - val_acc: 0.9440
Epoch 480/1000
329s 657ms/step - loss: 0.1797 - acc: 0.9887 - val_loss: 0.3468 - val_acc: 0.9443
Epoch 481/1000
328s 657ms/step - loss: 0.1827 - acc: 0.9877 - val_loss: 0.3535 - val_acc: 0.9381
Epoch 482/1000
329s 657ms/step - loss: 0.1837 - acc: 0.9881 - val_loss: 0.3552 - val_acc: 0.9410
Epoch 483/1000
329s 657ms/step - loss: 0.1807 - acc: 0.9887 - val_loss: 0.3533 - val_acc: 0.9434
Epoch 484/1000
328s 657ms/step - loss: 0.1824 - acc: 0.9879 - val_loss: 0.3630 - val_acc: 0.9394
Epoch 485/1000
329s 657ms/step - loss: 0.1800 - acc: 0.9888 - val_loss: 0.3462 - val_acc: 0.9434
Epoch 486/1000
329s 657ms/step - loss: 0.1782 - acc: 0.9895 - val_loss: 0.3476 - val_acc: 0.9441
Epoch 487/1000
329s 657ms/step - loss: 0.1823 - acc: 0.9881 - val_loss: 0.3564 - val_acc: 0.9409
Epoch 488/1000
329s 657ms/step - loss: 0.1804 - acc: 0.9889 - val_loss: 0.3665 - val_acc: 0.9390
Epoch 489/1000
328s 657ms/step - loss: 0.1866 - acc: 0.9864 - val_loss: 0.3538 - val_acc: 0.9397
Epoch 490/1000
329s 657ms/step - loss: 0.1808 - acc: 0.9889 - val_loss: 0.3444 - val_acc: 0.9453
Epoch 491/1000
329s 657ms/step - loss: 0.1814 - acc: 0.9884 - val_loss: 0.3515 - val_acc: 0.9424
Epoch 492/1000
329s 657ms/step - loss: 0.1819 - acc: 0.9879 - val_loss: 0.3566 - val_acc: 0.9418
Epoch 493/1000
328s 657ms/step - loss: 0.1840 - acc: 0.9871 - val_loss: 0.3693 - val_acc: 0.9382
Epoch 494/1000
329s 657ms/step - loss: 0.1798 - acc: 0.9892 - val_loss: 0.3536 - val_acc: 0.9424
Epoch 495/1000
328s 657ms/step - loss: 0.1787 - acc: 0.9896 - val_loss: 0.3460 - val_acc: 0.9432
Epoch 496/1000
329s 657ms/step - loss: 0.1808 - acc: 0.9887 - val_loss: 0.3443 - val_acc: 0.9438
Epoch 497/1000
329s 658ms/step - loss: 0.1799 - acc: 0.9889 - val_loss: 0.3482 - val_acc: 0.9425
Epoch 498/1000
328s 657ms/step - loss: 0.1801 - acc: 0.9887 - val_loss: 0.3591 - val_acc: 0.9406
Epoch 499/1000
328s 657ms/step - loss: 0.1827 - acc: 0.9883 - val_loss: 0.3431 - val_acc: 0.9422
Epoch 500/1000
328s 657ms/step - loss: 0.1813 - acc: 0.9881 - val_loss: 0.3502 - val_acc: 0.9406
Epoch 501/1000
328s 657ms/step - loss: 0.1807 - acc: 0.9886 - val_loss: 0.3563 - val_acc: 0.9396
Epoch 502/1000
328s 657ms/step - loss: 0.1795 - acc: 0.9894 - val_loss: 0.3465 - val_acc: 0.9424
Epoch 503/1000
329s 657ms/step - loss: 0.1805 - acc: 0.9890 - val_loss: 0.3411 - val_acc: 0.9447
Epoch 504/1000
328s 657ms/step - loss: 0.1803 - acc: 0.9886 - val_loss: 0.3550 - val_acc: 0.9397
Epoch 505/1000
329s 658ms/step - loss: 0.1812 - acc: 0.9885 - val_loss: 0.3505 - val_acc: 0.9412
Epoch 506/1000
328s 657ms/step - loss: 0.1800 - acc: 0.9887 - val_loss: 0.3428 - val_acc: 0.9425
Epoch 507/1000
329s 657ms/step - loss: 0.1795 - acc: 0.9892 - val_loss: 0.3355 - val_acc: 0.9464
Epoch 508/1000
328s 656ms/step - loss: 0.1800 - acc: 0.9884 - val_loss: 0.3405 - val_acc: 0.9436
Epoch 509/1000
328s 657ms/step - loss: 0.1769 - acc: 0.9894 - val_loss: 0.3639 - val_acc: 0.9405
Epoch 510/1000
328s 657ms/step - loss: 0.1812 - acc: 0.9879 - val_loss: 0.3464 - val_acc: 0.9416
Epoch 511/1000
328s 656ms/step - loss: 0.1779 - acc: 0.9895 - val_loss: 0.3640 - val_acc: 0.9394
Epoch 512/1000
328s 657ms/step - loss: 0.1776 - acc: 0.9893 - val_loss: 0.3481 - val_acc: 0.9425
Epoch 513/1000
328s 657ms/step - loss: 0.1808 - acc: 0.9887 - val_loss: 0.3457 - val_acc: 0.9437
Epoch 514/1000
328s 657ms/step - loss: 0.1797 - acc: 0.9885 - val_loss: 0.3498 - val_acc: 0.9413
Epoch 515/1000
328s 657ms/step - loss: 0.1746 - acc: 0.9908 - val_loss: 0.3429 - val_acc: 0.9462
Epoch 516/1000
328s 656ms/step - loss: 0.1783 - acc: 0.9892 - val_loss: 0.3475 - val_acc: 0.9426
Epoch 517/1000
330s 660ms/step - loss: 0.1804 - acc: 0.9884 - val_loss: 0.3390 - val_acc: 0.9447
Epoch 518/1000
329s 658ms/step - loss: 0.1814 - acc: 0.9877 - val_loss: 0.3589 - val_acc: 0.9405
Epoch 519/1000
329s 658ms/step - loss: 0.1795 - acc: 0.9892 - val_loss: 0.3434 - val_acc: 0.9431
Epoch 520/1000
329s 658ms/step - loss: 0.1765 - acc: 0.9903 - val_loss: 0.3614 - val_acc: 0.9398
Epoch 521/1000
329s 658ms/step - loss: 0.1827 - acc: 0.9875 - val_loss: 0.3328 - val_acc: 0.9441
Epoch 522/1000
329s 658ms/step - loss: 0.1779 - acc: 0.9894 - val_loss: 0.3509 - val_acc: 0.9400
Epoch 523/1000
329s 658ms/step - loss: 0.1762 - acc: 0.9899 - val_loss: 0.3604 - val_acc: 0.9393
Epoch 524/1000
329s 658ms/step - loss: 0.1798 - acc: 0.9887 - val_loss: 0.3454 - val_acc: 0.9432
Epoch 525/1000
329s 658ms/step - loss: 0.1766 - acc: 0.9900 - val_loss: 0.3524 - val_acc: 0.9412
Epoch 526/1000
332s 663ms/step - loss: 0.1797 - acc: 0.9879 - val_loss: 0.3484 - val_acc: 0.9423
Epoch 527/1000
329s 658ms/step - loss: 0.1815 - acc: 0.9882 - val_loss: 0.3347 - val_acc: 0.9457
Epoch 528/1000
328s 657ms/step - loss: 0.1790 - acc: 0.9887 - val_loss: 0.3603 - val_acc: 0.9409
Epoch 529/1000
329s 659ms/step - loss: 0.1765 - acc: 0.9894 - val_loss: 0.3525 - val_acc: 0.9425
Epoch 530/1000
329s 659ms/step - loss: 0.1784 - acc: 0.9887 - val_loss: 0.3437 - val_acc: 0.9456
Epoch 531/1000
329s 658ms/step - loss: 0.1782 - acc: 0.9891 - val_loss: 0.3416 - val_acc: 0.9449
Epoch 532/1000
329s 659ms/step - loss: 0.1787 - acc: 0.9891 - val_loss: 0.3309 - val_acc: 0.9475
Epoch 533/1000
330s 659ms/step - loss: 0.1778 - acc: 0.9896 - val_loss: 0.3534 - val_acc: 0.9402
Epoch 534/1000
331s 663ms/step - loss: 0.1764 - acc: 0.9897 - val_loss: 0.3421 - val_acc: 0.9428
Epoch 535/1000
331s 662ms/step - loss: 0.1766 - acc: 0.9896 - val_loss: 0.3353 - val_acc: 0.9431
Epoch 536/1000
329s 658ms/step - loss: 0.1809 - acc: 0.9875 - val_loss: 0.3330 - val_acc: 0.9452
Epoch 537/1000
329s 658ms/step - loss: 0.1782 - acc: 0.9891 - val_loss: 0.3537 - val_acc: 0.9412
Epoch 538/1000
329s 658ms/step - loss: 0.1774 - acc: 0.9889 - val_loss: 0.3371 - val_acc: 0.9459
Epoch 539/1000
329s 658ms/step - loss: 0.1795 - acc: 0.9880 - val_loss: 0.3404 - val_acc: 0.9450
Epoch 540/1000
329s 658ms/step - loss: 0.1783 - acc: 0.9890 - val_loss: 0.3391 - val_acc: 0.9434
Epoch 541/1000
329s 658ms/step - loss: 0.1813 - acc: 0.9876 - val_loss: 0.3570 - val_acc: 0.9411
Epoch 542/1000
329s 658ms/step - loss: 0.1777 - acc: 0.9889 - val_loss: 0.3529 - val_acc: 0.9382
Epoch 543/1000
329s 658ms/step - loss: 0.1794 - acc: 0.9890 - val_loss: 0.3580 - val_acc: 0.9393
Epoch 544/1000
329s 659ms/step - loss: 0.1737 - acc: 0.9909 - val_loss: 0.3399 - val_acc: 0.9444
Epoch 545/1000
329s 658ms/step - loss: 0.1764 - acc: 0.9902 - val_loss: 0.3457 - val_acc: 0.9444
Epoch 546/1000
329s 658ms/step - loss: 0.1752 - acc: 0.9898 - val_loss: 0.3448 - val_acc: 0.9447
Epoch 547/1000
329s 658ms/step - loss: 0.1772 - acc: 0.9886 - val_loss: 0.3508 - val_acc: 0.9405
Epoch 548/1000
329s 658ms/step - loss: 0.1811 - acc: 0.9877 - val_loss: 0.3537 - val_acc: 0.9409
Epoch 549/1000
329s 658ms/step - loss: 0.1790 - acc: 0.9890 - val_loss: 0.3448 - val_acc: 0.9439
Epoch 550/1000
328s 657ms/step - loss: 0.1798 - acc: 0.9886 - val_loss: 0.3388 - val_acc: 0.9427
Epoch 551/1000
329s 658ms/step - loss: 0.1814 - acc: 0.9878 - val_loss: 0.3373 - val_acc: 0.9446
Epoch 552/1000
329s 658ms/step - loss: 0.1785 - acc: 0.9886 - val_loss: 0.3527 - val_acc: 0.9397
Epoch 553/1000
329s 658ms/step - loss: 0.1805 - acc: 0.9882 - val_loss: 0.3534 - val_acc: 0.9412
Epoch 554/1000
329s 658ms/step - loss: 0.1796 - acc: 0.9881 - val_loss: 0.3445 - val_acc: 0.9420
Epoch 555/1000
329s 658ms/step - loss: 0.1777 - acc: 0.9895 - val_loss: 0.3350 - val_acc: 0.9468
Epoch 556/1000
329s 657ms/step - loss: 0.1765 - acc: 0.9895 - val_loss: 0.3468 - val_acc: 0.9417
Epoch 557/1000
329s 657ms/step - loss: 0.1793 - acc: 0.9886 - val_loss: 0.3513 - val_acc: 0.9400
Epoch 558/1000
329s 658ms/step - loss: 0.1754 - acc: 0.9896 - val_loss: 0.3661 - val_acc: 0.9386
Epoch 559/1000
329s 658ms/step - loss: 0.1775 - acc: 0.9892 - val_loss: 0.3534 - val_acc: 0.9420
Epoch 560/1000
329s 658ms/step - loss: 0.1785 - acc: 0.9891 - val_loss: 0.3369 - val_acc: 0.9423
Epoch 561/1000
328s 657ms/step - loss: 0.1787 - acc: 0.9884 - val_loss: 0.3476 - val_acc: 0.9403
Epoch 562/1000
328s 657ms/step - loss: 0.1773 - acc: 0.9895 - val_loss: 0.3449 - val_acc: 0.9410
Epoch 563/1000
328s 657ms/step - loss: 0.1735 - acc: 0.9908 - val_loss: 0.3369 - val_acc: 0.9442
Epoch 564/1000
329s 657ms/step - loss: 0.1751 - acc: 0.9897 - val_loss: 0.3415 - val_acc: 0.9443
Epoch 565/1000
329s 657ms/step - loss: 0.1750 - acc: 0.9893 - val_loss: 0.3506 - val_acc: 0.9412
Epoch 566/1000
329s 657ms/step - loss: 0.1783 - acc: 0.9886 - val_loss: 0.3459 - val_acc: 0.9419
Epoch 567/1000
329s 657ms/step - loss: 0.1771 - acc: 0.9888 - val_loss: 0.3560 - val_acc: 0.9405
Epoch 568/1000
329s 657ms/step - loss: 0.1795 - acc: 0.9882 - val_loss: 0.3467 - val_acc: 0.9446
Epoch 569/1000
329s 657ms/step - loss: 0.1797 - acc: 0.9882 - val_loss: 0.3252 - val_acc: 0.9485
Epoch 570/1000
329s 657ms/step - loss: 0.1753 - acc: 0.9897 - val_loss: 0.3488 - val_acc: 0.9433
Epoch 571/1000
328s 657ms/step - loss: 0.1787 - acc: 0.9885 - val_loss: 0.3395 - val_acc: 0.9437
Epoch 572/1000
329s 657ms/step - loss: 0.1804 - acc: 0.9883 - val_loss: 0.3366 - val_acc: 0.9437
Epoch 573/1000
329s 658ms/step - loss: 0.1756 - acc: 0.9898 - val_loss: 0.3479 - val_acc: 0.9451
Epoch 574/1000
329s 658ms/step - loss: 0.1776 - acc: 0.9886 - val_loss: 0.3471 - val_acc: 0.9424
Epoch 575/1000
329s 658ms/step - loss: 0.1791 - acc: 0.9888 - val_loss: 0.3404 - val_acc: 0.9465
Epoch 576/1000
329s 657ms/step - loss: 0.1785 - acc: 0.9893 - val_loss: 0.3567 - val_acc: 0.9396
Epoch 577/1000
329s 658ms/step - loss: 0.1779 - acc: 0.9889 - val_loss: 0.3452 - val_acc: 0.9418
Epoch 578/1000
329s 657ms/step - loss: 0.1758 - acc: 0.9896 - val_loss: 0.3450 - val_acc: 0.9440
Epoch 579/1000
329s 657ms/step - loss: 0.1775 - acc: 0.9887 - val_loss: 0.3361 - val_acc: 0.9458
Epoch 580/1000
329s 658ms/step - loss: 0.1750 - acc: 0.9899 - val_loss: 0.3418 - val_acc: 0.9479
Epoch 581/1000
329s 658ms/step - loss: 0.1721 - acc: 0.9912 - val_loss: 0.3549 - val_acc: 0.9425
Epoch 582/1000
329s 657ms/step - loss: 0.1765 - acc: 0.9894 - val_loss: 0.3358 - val_acc: 0.9446
Epoch 583/1000
329s 658ms/step - loss: 0.1760 - acc: 0.9897 - val_loss: 0.3409 - val_acc: 0.9451
Epoch 584/1000
329s 658ms/step - loss: 0.1755 - acc: 0.9893 - val_loss: 0.3453 - val_acc: 0.9425
Epoch 585/1000
329s 658ms/step - loss: 0.1788 - acc: 0.9884 - val_loss: 0.3428 - val_acc: 0.9421
Epoch 586/1000
329s 658ms/step - loss: 0.1772 - acc: 0.9885 - val_loss: 0.3503 - val_acc: 0.9408
Epoch 587/1000
329s 657ms/step - loss: 0.1774 - acc: 0.9885 - val_loss: 0.3441 - val_acc: 0.9444
Epoch 588/1000
329s 657ms/step - loss: 0.1730 - acc: 0.9909 - val_loss: 0.3379 - val_acc: 0.9461
Epoch 589/1000
329s 658ms/step - loss: 0.1787 - acc: 0.9879 - val_loss: 0.3538 - val_acc: 0.9408
Epoch 590/1000
329s 658ms/step - loss: 0.1769 - acc: 0.9891 - val_loss: 0.3490 - val_acc: 0.9435
Epoch 591/1000
329s 658ms/step - loss: 0.1751 - acc: 0.9898 - val_loss: 0.3517 - val_acc: 0.9405
Epoch 592/1000
329s 658ms/step - loss: 0.1757 - acc: 0.9897 - val_loss: 0.3406 - val_acc: 0.9428
Epoch 593/1000
329s 658ms/step - loss: 0.1771 - acc: 0.9891 - val_loss: 0.3388 - val_acc: 0.9441
Epoch 594/1000
329s 658ms/step - loss: 0.1757 - acc: 0.9898 - val_loss: 0.3501 - val_acc: 0.9415
Epoch 595/1000
329s 657ms/step - loss: 0.1755 - acc: 0.9896 - val_loss: 0.3473 - val_acc: 0.9416
Epoch 596/1000
329s 658ms/step - loss: 0.1728 - acc: 0.9901 - val_loss: 0.3366 - val_acc: 0.9443
Epoch 597/1000
329s 657ms/step - loss: 0.1748 - acc: 0.9896 - val_loss: 0.3571 - val_acc: 0.9413
Epoch 598/1000
329s 658ms/step - loss: 0.1767 - acc: 0.9889 - val_loss: 0.3485 - val_acc: 0.9421
Epoch 599/1000
329s 658ms/step - loss: 0.1778 - acc: 0.9887 - val_loss: 0.3409 - val_acc: 0.9422
Epoch 600/1000
329s 658ms/step - loss: 0.1759 - acc: 0.9894 - val_loss: 0.3471 - val_acc: 0.9428
Epoch 601/1000
lr changed to 0.0009999999776482583
329s 657ms/step - loss: 0.1637 - acc: 0.9939 - val_loss: 0.3166 - val_acc: 0.9501
Epoch 602/1000
329s 657ms/step - loss: 0.1559 - acc: 0.9966 - val_loss: 0.3119 - val_acc: 0.9506
Epoch 603/1000
329s 657ms/step - loss: 0.1527 - acc: 0.9974 - val_loss: 0.3101 - val_acc: 0.9506
Epoch 604/1000
329s 658ms/step - loss: 0.1519 - acc: 0.9974 - val_loss: 0.3096 - val_acc: 0.9528
Epoch 605/1000
329s 658ms/step - loss: 0.1508 - acc: 0.9977 - val_loss: 0.3065 - val_acc: 0.9534
Epoch 606/1000
329s 658ms/step - loss: 0.1498 - acc: 0.9977 - val_loss: 0.3029 - val_acc: 0.9537
Epoch 607/1000
329s 657ms/step - loss: 0.1486 - acc: 0.9983 - val_loss: 0.3023 - val_acc: 0.9550
Epoch 608/1000
329s 658ms/step - loss: 0.1479 - acc: 0.9984 - val_loss: 0.3038 - val_acc: 0.9547
Epoch 609/1000
329s 658ms/step - loss: 0.1481 - acc: 0.9982 - val_loss: 0.3042 - val_acc: 0.9552
Epoch 610/1000
329s 658ms/step - loss: 0.1477 - acc: 0.9984 - val_loss: 0.3046 - val_acc: 0.9551
Epoch 611/1000
329s 658ms/step - loss: 0.1469 - acc: 0.9985 - val_loss: 0.3042 - val_acc: 0.9545
Epoch 612/1000
329s 657ms/step - loss: 0.1466 - acc: 0.9984 - val_loss: 0.3041 - val_acc: 0.9544
Epoch 613/1000
329s 658ms/step - loss: 0.1461 - acc: 0.9983 - val_loss: 0.3028 - val_acc: 0.9550
Epoch 614/1000
329s 658ms/step - loss: 0.1454 - acc: 0.9988 - val_loss: 0.3013 - val_acc: 0.9547
Epoch 615/1000
329s 657ms/step - loss: 0.1443 - acc: 0.9989 - val_loss: 0.3034 - val_acc: 0.9545
Epoch 616/1000
329s 657ms/step - loss: 0.1449 - acc: 0.9985 - val_loss: 0.3020 - val_acc: 0.9547
Epoch 617/1000
329s 658ms/step - loss: 0.1442 - acc: 0.9989 - val_loss: 0.3005 - val_acc: 0.9547
Epoch 618/1000
329s 658ms/step - loss: 0.1442 - acc: 0.9987 - val_loss: 0.3007 - val_acc: 0.9550
Epoch 619/1000
329s 657ms/step - loss: 0.1433 - acc: 0.9990 - val_loss: 0.3015 - val_acc: 0.9558
Epoch 620/1000
329s 658ms/step - loss: 0.1436 - acc: 0.9990 - val_loss: 0.3018 - val_acc: 0.9557
Epoch 621/1000
329s 658ms/step - loss: 0.1430 - acc: 0.9990 - val_loss: 0.3001 - val_acc: 0.9552
Epoch 622/1000
329s 657ms/step - loss: 0.1427 - acc: 0.9990 - val_loss: 0.2994 - val_acc: 0.9552
Epoch 623/1000
329s 658ms/step - loss: 0.1423 - acc: 0.9989 - val_loss: 0.2989 - val_acc: 0.9548
Epoch 624/1000
329s 658ms/step - loss: 0.1419 - acc: 0.9991 - val_loss: 0.2995 - val_acc: 0.9553
Epoch 625/1000
329s 658ms/step - loss: 0.1414 - acc: 0.9990 - val_loss: 0.3002 - val_acc: 0.9558
Epoch 626/1000
329s 657ms/step - loss: 0.1413 - acc: 0.9990 - val_loss: 0.3006 - val_acc: 0.9551
Epoch 627/1000
329s 657ms/step - loss: 0.1409 - acc: 0.9991 - val_loss: 0.2997 - val_acc: 0.9548
Epoch 628/1000
329s 657ms/step - loss: 0.1405 - acc: 0.9993 - val_loss: 0.3015 - val_acc: 0.9542
Epoch 629/1000
329s 657ms/step - loss: 0.1409 - acc: 0.9988 - val_loss: 0.3005 - val_acc: 0.9548
Epoch 630/1000
329s 658ms/step - loss: 0.1404 - acc: 0.9989 - val_loss: 0.3032 - val_acc: 0.9534
Epoch 631/1000
329s 658ms/step - loss: 0.1400 - acc: 0.9991 - val_loss: 0.3029 - val_acc: 0.9541
Epoch 632/1000
329s 658ms/step - loss: 0.1391 - acc: 0.9993 - val_loss: 0.3021 - val_acc: 0.9540
Epoch 633/1000
329s 658ms/step - loss: 0.1392 - acc: 0.9991 - val_loss: 0.3025 - val_acc: 0.9535
Epoch 634/1000
329s 657ms/step - loss: 0.1388 - acc: 0.9992 - val_loss: 0.3026 - val_acc: 0.9539
Epoch 635/1000
329s 658ms/step - loss: 0.1386 - acc: 0.9993 - val_loss: 0.3009 - val_acc: 0.9538
Epoch 636/1000
329s 658ms/step - loss: 0.1379 - acc: 0.9993 - val_loss: 0.3001 - val_acc: 0.9541
Epoch 637/1000
329s 658ms/step - loss: 0.1376 - acc: 0.9994 - val_loss: 0.3000 - val_acc: 0.9550
Epoch 638/1000
329s 657ms/step - loss: 0.1378 - acc: 0.9993 - val_loss: 0.2977 - val_acc: 0.9559
Epoch 639/1000
329s 658ms/step - loss: 0.1373 - acc: 0.9992 - val_loss: 0.2993 - val_acc: 0.9539
Epoch 640/1000
329s 658ms/step - loss: 0.1371 - acc: 0.9993 - val_loss: 0.2996 - val_acc: 0.9543
Epoch 641/1000
329s 658ms/step - loss: 0.1365 - acc: 0.9994 - val_loss: 0.3008 - val_acc: 0.9544
Epoch 642/1000
329s 658ms/step - loss: 0.1367 - acc: 0.9992 - val_loss: 0.3000 - val_acc: 0.9538
Epoch 643/1000
329s 658ms/step - loss: 0.1366 - acc: 0.9991 - val_loss: 0.2985 - val_acc: 0.9546
Epoch 644/1000
329s 657ms/step - loss: 0.1361 - acc: 0.9993 - val_loss: 0.2990 - val_acc: 0.9545
Epoch 645/1000
328s 657ms/step - loss: 0.1353 - acc: 0.9995 - val_loss: 0.2967 - val_acc: 0.9547
Epoch 646/1000
329s 658ms/step - loss: 0.1351 - acc: 0.9995 - val_loss: 0.2974 - val_acc: 0.9554
Epoch 647/1000
329s 658ms/step - loss: 0.1351 - acc: 0.9994 - val_loss: 0.2973 - val_acc: 0.9557
Epoch 648/1000
329s 658ms/step - loss: 0.1350 - acc: 0.9993 - val_loss: 0.2983 - val_acc: 0.9545
Epoch 649/1000
329s 658ms/step - loss: 0.1348 - acc: 0.9993 - val_loss: 0.2975 - val_acc: 0.9544
Epoch 650/1000
329s 658ms/step - loss: 0.1351 - acc: 0.9991 - val_loss: 0.2971 - val_acc: 0.9549
Epoch 651/1000
329s 658ms/step - loss: 0.1341 - acc: 0.9994 - val_loss: 0.2958 - val_acc: 0.9550
Epoch 652/1000
328s 657ms/step - loss: 0.1340 - acc: 0.9993 - val_loss: 0.2949 - val_acc: 0.9552
Epoch 653/1000
328s 657ms/step - loss: 0.1338 - acc: 0.9993 - val_loss: 0.2932 - val_acc: 0.9557
Epoch 654/1000
329s 657ms/step - loss: 0.1336 - acc: 0.9993 - val_loss: 0.2930 - val_acc: 0.9563
Epoch 655/1000
329s 657ms/step - loss: 0.1335 - acc: 0.9994 - val_loss: 0.2928 - val_acc: 0.9558
Epoch 656/1000
329s 657ms/step - loss: 0.1335 - acc: 0.9993 - val_loss: 0.2947 - val_acc: 0.9556
Epoch 657/1000
329s 658ms/step - loss: 0.1325 - acc: 0.9995 - val_loss: 0.2945 - val_acc: 0.9554
Epoch 658/1000
329s 658ms/step - loss: 0.1327 - acc: 0.9994 - val_loss: 0.2933 - val_acc: 0.9548
Epoch 659/1000
329s 658ms/step - loss: 0.1324 - acc: 0.9994 - val_loss: 0.2931 - val_acc: 0.9546
Epoch 660/1000
328s 657ms/step - loss: 0.1320 - acc: 0.9995 - val_loss: 0.2945 - val_acc: 0.9548
Epoch 661/1000
329s 657ms/step - loss: 0.1319 - acc: 0.9994 - val_loss: 0.2935 - val_acc: 0.9554
Epoch 662/1000
329s 657ms/step - loss: 0.1312 - acc: 0.9996 - val_loss: 0.2925 - val_acc: 0.9548
Epoch 663/1000
329s 658ms/step - loss: 0.1314 - acc: 0.9994 - val_loss: 0.2906 - val_acc: 0.9554
Epoch 664/1000
329s 657ms/step - loss: 0.1308 - acc: 0.9995 - val_loss: 0.2893 - val_acc: 0.9561
Epoch 665/1000
329s 657ms/step - loss: 0.1310 - acc: 0.9994 - val_loss: 0.2891 - val_acc: 0.9557
Epoch 666/1000
329s 657ms/step - loss: 0.1310 - acc: 0.9993 - val_loss: 0.2890 - val_acc: 0.9565
Epoch 667/1000
329s 658ms/step - loss: 0.1304 - acc: 0.9994 - val_loss: 0.2878 - val_acc: 0.9566
Epoch 668/1000
329s 657ms/step - loss: 0.1299 - acc: 0.9997 - val_loss: 0.2877 - val_acc: 0.9574
Epoch 669/1000
329s 658ms/step - loss: 0.1300 - acc: 0.9994 - val_loss: 0.2879 - val_acc: 0.9572
Epoch 670/1000
329s 657ms/step - loss: 0.1299 - acc: 0.9994 - val_loss: 0.2908 - val_acc: 0.9566
Epoch 671/1000
329s 659ms/step - loss: 0.1292 - acc: 0.9996 - val_loss: 0.2896 - val_acc: 0.9566
Epoch 672/1000
329s 658ms/step - loss: 0.1290 - acc: 0.9996 - val_loss: 0.2906 - val_acc: 0.9563
Epoch 673/1000
329s 657ms/step - loss: 0.1291 - acc: 0.9993 - val_loss: 0.2903 - val_acc: 0.9565
Epoch 674/1000
328s 656ms/step - loss: 0.1291 - acc: 0.9994 - val_loss: 0.2915 - val_acc: 0.9555
Epoch 675/1000
328s 657ms/step - loss: 0.1288 - acc: 0.9993 - val_loss: 0.2891 - val_acc: 0.9560
Epoch 676/1000
328s 657ms/step - loss: 0.1284 - acc: 0.9994 - val_loss: 0.2905 - val_acc: 0.9568
Epoch 677/1000
328s 657ms/step - loss: 0.1280 - acc: 0.9995 - val_loss: 0.2906 - val_acc: 0.9556
Epoch 678/1000
328s 657ms/step - loss: 0.1285 - acc: 0.9992 - val_loss: 0.2888 - val_acc: 0.9564
Epoch 679/1000
329s 657ms/step - loss: 0.1277 - acc: 0.9994 - val_loss: 0.2888 - val_acc: 0.9563
Epoch 680/1000
329s 657ms/step - loss: 0.1277 - acc: 0.9993 - val_loss: 0.2892 - val_acc: 0.9567
Epoch 681/1000
329s 658ms/step - loss: 0.1270 - acc: 0.9995 - val_loss: 0.2895 - val_acc: 0.9560
Epoch 682/1000
329s 658ms/step - loss: 0.1272 - acc: 0.9994 - val_loss: 0.2896 - val_acc: 0.9556
Epoch 683/1000
329s 657ms/step - loss: 0.1271 - acc: 0.9993 - val_loss: 0.2897 - val_acc: 0.9567
Epoch 684/1000
329s 657ms/step - loss: 0.1265 - acc: 0.9996 - val_loss: 0.2896 - val_acc: 0.9561
Epoch 685/1000
329s 657ms/step - loss: 0.1259 - acc: 0.9996 - val_loss: 0.2898 - val_acc: 0.9554
Epoch 686/1000
329s 657ms/step - loss: 0.1263 - acc: 0.9994 - val_loss: 0.2907 - val_acc: 0.9557
Epoch 687/1000
328s 657ms/step - loss: 0.1260 - acc: 0.9993 - val_loss: 0.2909 - val_acc: 0.9553
Epoch 688/1000
328s 657ms/step - loss: 0.1255 - acc: 0.9995 - val_loss: 0.2908 - val_acc: 0.9552
Epoch 689/1000
329s 657ms/step - loss: 0.1253 - acc: 0.9995 - val_loss: 0.2896 - val_acc: 0.9553
Epoch 690/1000
328s 657ms/step - loss: 0.1252 - acc: 0.9995 - val_loss: 0.2880 - val_acc: 0.9563
Epoch 691/1000
328s 657ms/step - loss: 0.1248 - acc: 0.9996 - val_loss: 0.2893 - val_acc: 0.9558
Epoch 692/1000
329s 658ms/step - loss: 0.1248 - acc: 0.9994 - val_loss: 0.2896 - val_acc: 0.9553
Epoch 693/1000
329s 657ms/step - loss: 0.1244 - acc: 0.9996 - val_loss: 0.2877 - val_acc: 0.9559
Epoch 694/1000
329s 658ms/step - loss: 0.1244 - acc: 0.9994 - val_loss: 0.2862 - val_acc: 0.9556
Epoch 695/1000
329s 658ms/step - loss: 0.1242 - acc: 0.9994 - val_loss: 0.2864 - val_acc: 0.9560
Epoch 696/1000
329s 657ms/step - loss: 0.1240 - acc: 0.9994 - val_loss: 0.2875 - val_acc: 0.9558
Epoch 697/1000
329s 658ms/step - loss: 0.1236 - acc: 0.9995 - val_loss: 0.2869 - val_acc: 0.9556
Epoch 698/1000
329s 658ms/step - loss: 0.1236 - acc: 0.9995 - val_loss: 0.2862 - val_acc: 0.9556
Epoch 699/1000
329s 657ms/step - loss: 0.1232 - acc: 0.9995 - val_loss: 0.2856 - val_acc: 0.9562
Epoch 700/1000
329s 657ms/step - loss: 0.1228 - acc: 0.9996 - val_loss: 0.2848 - val_acc: 0.9554
Epoch 701/1000
329s 657ms/step - loss: 0.1226 - acc: 0.9996 - val_loss: 0.2845 - val_acc: 0.9549
Epoch 702/1000
329s 658ms/step - loss: 0.1225 - acc: 0.9994 - val_loss: 0.2841 - val_acc: 0.9560
Epoch 703/1000
329s 658ms/step - loss: 0.1224 - acc: 0.9995 - val_loss: 0.2826 - val_acc: 0.9567
Epoch 704/1000
329s 658ms/step - loss: 0.1223 - acc: 0.9994 - val_loss: 0.2838 - val_acc: 0.9568
Epoch 705/1000
329s 658ms/step - loss: 0.1224 - acc: 0.9994 - val_loss: 0.2816 - val_acc: 0.9559
Epoch 706/1000
329s 657ms/step - loss: 0.1219 - acc: 0.9995 - val_loss: 0.2814 - val_acc: 0.9557
Epoch 707/1000
329s 657ms/step - loss: 0.1215 - acc: 0.9996 - val_loss: 0.2818 - val_acc: 0.9551
Epoch 708/1000
329s 657ms/step - loss: 0.1210 - acc: 0.9997 - val_loss: 0.2811 - val_acc: 0.9559
Epoch 709/1000
329s 658ms/step - loss: 0.1213 - acc: 0.9995 - val_loss: 0.2804 - val_acc: 0.9565
Epoch 710/1000
329s 658ms/step - loss: 0.1208 - acc: 0.9996 - val_loss: 0.2788 - val_acc: 0.9568
Epoch 711/1000
329s 658ms/step - loss: 0.1208 - acc: 0.9995 - val_loss: 0.2778 - val_acc: 0.9569
Epoch 712/1000
329s 658ms/step - loss: 0.1203 - acc: 0.9997 - val_loss: 0.2785 - val_acc: 0.9571
Epoch 713/1000
329s 658ms/step - loss: 0.1202 - acc: 0.9996 - val_loss: 0.2790 - val_acc: 0.9566
Epoch 714/1000
329s 658ms/step - loss: 0.1197 - acc: 0.9997 - val_loss: 0.2774 - val_acc: 0.9564
Epoch 715/1000
329s 657ms/step - loss: 0.1195 - acc: 0.9997 - val_loss: 0.2775 - val_acc: 0.9568
Epoch 716/1000
329s 657ms/step - loss: 0.1198 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9565
Epoch 717/1000
329s 658ms/step - loss: 0.1195 - acc: 0.9995 - val_loss: 0.2815 - val_acc: 0.9557
Epoch 718/1000
329s 658ms/step - loss: 0.1196 - acc: 0.9994 - val_loss: 0.2803 - val_acc: 0.9566
Epoch 719/1000
329s 659ms/step - loss: 0.1189 - acc: 0.9997 - val_loss: 0.2806 - val_acc: 0.9563
Epoch 720/1000
329s 658ms/step - loss: 0.1191 - acc: 0.9993 - val_loss: 0.2808 - val_acc: 0.9567
Epoch 721/1000
329s 658ms/step - loss: 0.1184 - acc: 0.9997 - val_loss: 0.2812 - val_acc: 0.9563
Epoch 722/1000
329s 658ms/step - loss: 0.1184 - acc: 0.9996 - val_loss: 0.2791 - val_acc: 0.9564
Epoch 723/1000
329s 657ms/step - loss: 0.1181 - acc: 0.9996 - val_loss: 0.2800 - val_acc: 0.9570
Epoch 724/1000
329s 658ms/step - loss: 0.1184 - acc: 0.9995 - val_loss: 0.2816 - val_acc: 0.9568
Epoch 725/1000
329s 657ms/step - loss: 0.1181 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9567
Epoch 726/1000
329s 657ms/step - loss: 0.1177 - acc: 0.9997 - val_loss: 0.2806 - val_acc: 0.9564
Epoch 727/1000
329s 658ms/step - loss: 0.1178 - acc: 0.9995 - val_loss: 0.2816 - val_acc: 0.9568
Epoch 728/1000
329s 657ms/step - loss: 0.1172 - acc: 0.9996 - val_loss: 0.2806 - val_acc: 0.9574
Epoch 729/1000
329s 658ms/step - loss: 0.1173 - acc: 0.9995 - val_loss: 0.2821 - val_acc: 0.9560
Epoch 730/1000
329s 658ms/step - loss: 0.1170 - acc: 0.9996 - val_loss: 0.2831 - val_acc: 0.9553
Epoch 731/1000
329s 658ms/step - loss: 0.1169 - acc: 0.9995 - val_loss: 0.2847 - val_acc: 0.9556
Epoch 732/1000
329s 658ms/step - loss: 0.1170 - acc: 0.9995 - val_loss: 0.2792 - val_acc: 0.9575
Epoch 733/1000
329s 658ms/step - loss: 0.1168 - acc: 0.9994 - val_loss: 0.2815 - val_acc: 0.9562
Epoch 734/1000
329s 658ms/step - loss: 0.1161 - acc: 0.9997 - val_loss: 0.2790 - val_acc: 0.9573
Epoch 735/1000
329s 658ms/step - loss: 0.1158 - acc: 0.9997 - val_loss: 0.2783 - val_acc: 0.9571
Epoch 736/1000
329s 658ms/step - loss: 0.1160 - acc: 0.9995 - val_loss: 0.2818 - val_acc: 0.9562
Epoch 737/1000
329s 658ms/step - loss: 0.1156 - acc: 0.9996 - val_loss: 0.2804 - val_acc: 0.9559
Epoch 738/1000
329s 658ms/step - loss: 0.1156 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9559
Epoch 739/1000
329s 658ms/step - loss: 0.1151 - acc: 0.9996 - val_loss: 0.2791 - val_acc: 0.9561
Epoch 740/1000
329s 657ms/step - loss: 0.1148 - acc: 0.9997 - val_loss: 0.2779 - val_acc: 0.9557
Epoch 741/1000
329s 658ms/step - loss: 0.1147 - acc: 0.9995 - val_loss: 0.2785 - val_acc: 0.9564
Epoch 742/1000
329s 658ms/step - loss: 0.1147 - acc: 0.9996 - val_loss: 0.2787 - val_acc: 0.9552
Epoch 743/1000
329s 658ms/step - loss: 0.1147 - acc: 0.9994 - val_loss: 0.2773 - val_acc: 0.9563
Epoch 744/1000
329s 658ms/step - loss: 0.1147 - acc: 0.9995 - val_loss: 0.2782 - val_acc: 0.9566
Epoch 745/1000
329s 658ms/step - loss: 0.1142 - acc: 0.9995 - val_loss: 0.2765 - val_acc: 0.9554
Epoch 746/1000
329s 657ms/step - loss: 0.1141 - acc: 0.9996 - val_loss: 0.2764 - val_acc: 0.9565
Epoch 747/1000
329s 658ms/step - loss: 0.1137 - acc: 0.9997 - val_loss: 0.2785 - val_acc: 0.9564
Epoch 748/1000
329s 658ms/step - loss: 0.1137 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9564
Epoch 749/1000
329s 658ms/step - loss: 0.1137 - acc: 0.9996 - val_loss: 0.2761 - val_acc: 0.9569
Epoch 750/1000
329s 658ms/step - loss: 0.1138 - acc: 0.9994 - val_loss: 0.2772 - val_acc: 0.9561
Epoch 751/1000
329s 658ms/step - loss: 0.1136 - acc: 0.9994 - val_loss: 0.2821 - val_acc: 0.9544
Epoch 752/1000
329s 658ms/step - loss: 0.1129 - acc: 0.9996 - val_loss: 0.2808 - val_acc: 0.9536
Epoch 753/1000
329s 659ms/step - loss: 0.1128 - acc: 0.9995 - val_loss: 0.2798 - val_acc: 0.9545
Epoch 754/1000
329s 658ms/step - loss: 0.1127 - acc: 0.9996 - val_loss: 0.2794 - val_acc: 0.9553
Epoch 755/1000
329s 658ms/step - loss: 0.1125 - acc: 0.9995 - val_loss: 0.2773 - val_acc: 0.9554
Epoch 756/1000
329s 659ms/step - loss: 0.1121 - acc: 0.9997 - val_loss: 0.2763 - val_acc: 0.9554
Epoch 757/1000
329s 658ms/step - loss: 0.1121 - acc: 0.9996 - val_loss: 0.2760 - val_acc: 0.9553
Epoch 758/1000
329s 658ms/step - loss: 0.1116 - acc: 0.9997 - val_loss: 0.2763 - val_acc: 0.9558
Epoch 759/1000
329s 658ms/step - loss: 0.1118 - acc: 0.9995 - val_loss: 0.2775 - val_acc: 0.9568
Epoch 760/1000
329s 658ms/step - loss: 0.1117 - acc: 0.9994 - val_loss: 0.2758 - val_acc: 0.9568
Epoch 761/1000
329s 659ms/step - loss: 0.1113 - acc: 0.9996 - val_loss: 0.2747 - val_acc: 0.9564
Epoch 762/1000
329s 658ms/step - loss: 0.1110 - acc: 0.9997 - val_loss: 0.2759 - val_acc: 0.9555
Epoch 763/1000
329s 658ms/step - loss: 0.1109 - acc: 0.9996 - val_loss: 0.2771 - val_acc: 0.9558
Epoch 764/1000
329s 658ms/step - loss: 0.1106 - acc: 0.9997 - val_loss: 0.2739 - val_acc: 0.9560
Epoch 765/1000
329s 658ms/step - loss: 0.1108 - acc: 0.9995 - val_loss: 0.2762 - val_acc: 0.9559
Epoch 766/1000
329s 658ms/step - loss: 0.1102 - acc: 0.9997 - val_loss: 0.2748 - val_acc: 0.9564
Epoch 767/1000
329s 657ms/step - loss: 0.1104 - acc: 0.9995 - val_loss: 0.2744 - val_acc: 0.9555
Epoch 768/1000
329s 658ms/step - loss: 0.1102 - acc: 0.9995 - val_loss: 0.2733 - val_acc: 0.9559
Epoch 769/1000
329s 659ms/step - loss: 0.1098 - acc: 0.9995 - val_loss: 0.2733 - val_acc: 0.9573
Epoch 770/1000
329s 659ms/step - loss: 0.1096 - acc: 0.9996 - val_loss: 0.2765 - val_acc: 0.9556
Epoch 771/1000
329s 658ms/step - loss: 0.1098 - acc: 0.9996 - val_loss: 0.2741 - val_acc: 0.9572
Epoch 772/1000
329s 658ms/step - loss: 0.1091 - acc: 0.9997 - val_loss: 0.2746 - val_acc: 0.9566
Epoch 773/1000
327s 655ms/step - loss: 0.1094 - acc: 0.9995 - val_loss: 0.2741 - val_acc: 0.9571
Epoch 774/1000
327s 654ms/step - loss: 0.1092 - acc: 0.9995 - val_loss: 0.2745 - val_acc: 0.9576
Epoch 775/1000
328s 655ms/step - loss: 0.1091 - acc: 0.9995 - val_loss: 0.2760 - val_acc: 0.9582
Epoch 776/1000
327s 655ms/step - loss: 0.1087 - acc: 0.9997 - val_loss: 0.2753 - val_acc: 0.9576
Epoch 777/1000
328s 655ms/step - loss: 0.1083 - acc: 0.9997 - val_loss: 0.2735 - val_acc: 0.9578
Epoch 778/1000
327s 654ms/step - loss: 0.1082 - acc: 0.9997 - val_loss: 0.2745 - val_acc: 0.9576
Epoch 779/1000
327s 654ms/step - loss: 0.1085 - acc: 0.9995 - val_loss: 0.2737 - val_acc: 0.9571
Epoch 780/1000
327s 654ms/step - loss: 0.1083 - acc: 0.9994 - val_loss: 0.2728 - val_acc: 0.9570
Epoch 781/1000
327s 654ms/step - loss: 0.1077 - acc: 0.9997 - val_loss: 0.2715 - val_acc: 0.9573
Epoch 782/1000
327s 654ms/step - loss: 0.1075 - acc: 0.9997 - val_loss: 0.2724 - val_acc: 0.9581
Epoch 783/1000
327s 654ms/step - loss: 0.1074 - acc: 0.9997 - val_loss: 0.2715 - val_acc: 0.9581
Epoch 784/1000
327s 654ms/step - loss: 0.1075 - acc: 0.9995 - val_loss: 0.2690 - val_acc: 0.9578
Epoch 785/1000
327s 654ms/step - loss: 0.1072 - acc: 0.9996 - val_loss: 0.2703 - val_acc: 0.9569
Epoch 786/1000
328s 656ms/step - loss: 0.1073 - acc: 0.9994 - val_loss: 0.2711 - val_acc: 0.9573
Epoch 787/1000
329s 657ms/step - loss: 0.1070 - acc: 0.9994 - val_loss: 0.2694 - val_acc: 0.9568
Epoch 788/1000
329s 657ms/step - loss: 0.1066 - acc: 0.9997 - val_loss: 0.2709 - val_acc: 0.9575
Epoch 789/1000
329s 657ms/step - loss: 0.1069 - acc: 0.9994 - val_loss: 0.2720 - val_acc: 0.9569
Epoch 790/1000
328s 655ms/step - loss: 0.1065 - acc: 0.9996 - val_loss: 0.2717 - val_acc: 0.9569
Epoch 791/1000
327s 654ms/step - loss: 0.1063 - acc: 0.9996 - val_loss: 0.2699 - val_acc: 0.9573
Epoch 792/1000
329s 657ms/step - loss: 0.1061 - acc: 0.9996 - val_loss: 0.2699 - val_acc: 0.9563
Epoch 793/1000
329s 657ms/step - loss: 0.1058 - acc: 0.9997 - val_loss: 0.2696 - val_acc: 0.9555
Epoch 794/1000
329s 657ms/step - loss: 0.1060 - acc: 0.9996 - val_loss: 0.2713 - val_acc: 0.9555
Epoch 795/1000
329s 658ms/step - loss: 0.1057 - acc: 0.9996 - val_loss: 0.2697 - val_acc: 0.9576
Epoch 796/1000
329s 658ms/step - loss: 0.1057 - acc: 0.9995 - val_loss: 0.2699 - val_acc: 0.9575
Epoch 797/1000
328s 656ms/step - loss: 0.1050 - acc: 0.9997 - val_loss: 0.2702 - val_acc: 0.9558
Epoch 798/1000
329s 658ms/step - loss: 0.1050 - acc: 0.9996 - val_loss: 0.2706 - val_acc: 0.9553
Epoch 799/1000
329s 658ms/step - loss: 0.1052 - acc: 0.9995 - val_loss: 0.2717 - val_acc: 0.9560
Epoch 800/1000
329s 657ms/step - loss: 0.1051 - acc: 0.9996 - val_loss: 0.2687 - val_acc: 0.9565
Epoch 801/1000
329s 657ms/step - loss: 0.1046 - acc: 0.9996 - val_loss: 0.2688 - val_acc: 0.9558
Epoch 802/1000
329s 657ms/step - loss: 0.1048 - acc: 0.9995 - val_loss: 0.2692 - val_acc: 0.9570
Epoch 803/1000
327s 655ms/step - loss: 0.1045 - acc: 0.9996 - val_loss: 0.2673 - val_acc: 0.9576
Epoch 804/1000
328s 656ms/step - loss: 0.1044 - acc: 0.9994 - val_loss: 0.2682 - val_acc: 0.9567
Epoch 805/1000
328s 655ms/step - loss: 0.1040 - acc: 0.9995 - val_loss: 0.2668 - val_acc: 0.9567
Epoch 806/1000
328s 655ms/step - loss: 0.1042 - acc: 0.9995 - val_loss: 0.2697 - val_acc: 0.9559
Epoch 807/1000
328s 655ms/step - loss: 0.1036 - acc: 0.9996 - val_loss: 0.2684 - val_acc: 0.9560
Epoch 808/1000
328s 655ms/step - loss: 0.1036 - acc: 0.9996 - val_loss: 0.2675 - val_acc: 0.9566
Epoch 809/1000
328s 656ms/step - loss: 0.1037 - acc: 0.9995 - val_loss: 0.2682 - val_acc: 0.9560
Epoch 810/1000
328s 656ms/step - loss: 0.1032 - acc: 0.9997 - val_loss: 0.2667 - val_acc: 0.9565
Epoch 811/1000
328s 655ms/step - loss: 0.1028 - acc: 0.9997 - val_loss: 0.2635 - val_acc: 0.9571
Epoch 812/1000
328s 656ms/step - loss: 0.1031 - acc: 0.9995 - val_loss: 0.2680 - val_acc: 0.9564
Epoch 813/1000
327s 655ms/step - loss: 0.1028 - acc: 0.9995 - val_loss: 0.2656 - val_acc: 0.9576
Epoch 814/1000
327s 655ms/step - loss: 0.1029 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9577
Epoch 815/1000
328s 656ms/step - loss: 0.1025 - acc: 0.9997 - val_loss: 0.2622 - val_acc: 0.9579
Epoch 816/1000
329s 658ms/step - loss: 0.1023 - acc: 0.9997 - val_loss: 0.2629 - val_acc: 0.9575
Epoch 817/1000
331s 661ms/step - loss: 0.1023 - acc: 0.9996 - val_loss: 0.2612 - val_acc: 0.9581
Epoch 818/1000
328s 656ms/step - loss: 0.1019 - acc: 0.9997 - val_loss: 0.2632 - val_acc: 0.9569
Epoch 819/1000
328s 657ms/step - loss: 0.1019 - acc: 0.9996 - val_loss: 0.2625 - val_acc: 0.9577
Epoch 820/1000
328s 656ms/step - loss: 0.1016 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9566
Epoch 821/1000
332s 665ms/step - loss: 0.1017 - acc: 0.9996 - val_loss: 0.2628 - val_acc: 0.9566
Epoch 822/1000
332s 664ms/step - loss: 0.1019 - acc: 0.9994 - val_loss: 0.2626 - val_acc: 0.9577
Epoch 823/1000
328s 656ms/step - loss: 0.1014 - acc: 0.9995 - val_loss: 0.2655 - val_acc: 0.9564
Epoch 824/1000
327s 654ms/step - loss: 0.1011 - acc: 0.9996 - val_loss: 0.2655 - val_acc: 0.9557
Epoch 825/1000
327s 654ms/step - loss: 0.1013 - acc: 0.9995 - val_loss: 0.2625 - val_acc: 0.9567
Epoch 826/1000
327s 654ms/step - loss: 0.1008 - acc: 0.9995 - val_loss: 0.2634 - val_acc: 0.9563
Epoch 827/1000
327s 654ms/step - loss: 0.1006 - acc: 0.9996 - val_loss: 0.2618 - val_acc: 0.9576
Epoch 828/1000
329s 658ms/step - loss: 0.1010 - acc: 0.9995 - val_loss: 0.2630 - val_acc: 0.9566
Epoch 829/1000
327s 654ms/step - loss: 0.1004 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9552
Epoch 830/1000
327s 653ms/step - loss: 0.1004 - acc: 0.9995 - val_loss: 0.2616 - val_acc: 0.9565
Epoch 831/1000
327s 654ms/step - loss: 0.1001 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9568
Epoch 832/1000
327s 653ms/step - loss: 0.1000 - acc: 0.9996 - val_loss: 0.2604 - val_acc: 0.9569
Epoch 833/1000
327s 654ms/step - loss: 0.0998 - acc: 0.9996 - val_loss: 0.2589 - val_acc: 0.9571
Epoch 834/1000
327s 654ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2605 - val_acc: 0.9567
Epoch 835/1000
327s 653ms/step - loss: 0.0995 - acc: 0.9995 - val_loss: 0.2616 - val_acc: 0.9565
Epoch 836/1000
327s 653ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2612 - val_acc: 0.9557
Epoch 837/1000
327s 653ms/step - loss: 0.0992 - acc: 0.9996 - val_loss: 0.2623 - val_acc: 0.9566
Epoch 838/1000
327s 653ms/step - loss: 0.0991 - acc: 0.9995 - val_loss: 0.2611 - val_acc: 0.9583
Epoch 839/1000
330s 660ms/step - loss: 0.0993 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9570
Epoch 840/1000
333s 666ms/step - loss: 0.0990 - acc: 0.9997 - val_loss: 0.2628 - val_acc: 0.9566
Epoch 841/1000
334s 668ms/step - loss: 0.0989 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9572
Epoch 842/1000
333s 667ms/step - loss: 0.0985 - acc: 0.9996 - val_loss: 0.2633 - val_acc: 0.9577
Epoch 843/1000
334s 667ms/step - loss: 0.0985 - acc: 0.9996 - val_loss: 0.2622 - val_acc: 0.9575
Epoch 844/1000
333s 667ms/step - loss: 0.0984 - acc: 0.9996 - val_loss: 0.2646 - val_acc: 0.9564
Epoch 845/1000
334s 667ms/step - loss: 0.0981 - acc: 0.9997 - val_loss: 0.2638 - val_acc: 0.9565
Epoch 846/1000
334s 667ms/step - loss: 0.0982 - acc: 0.9994 - val_loss: 0.2649 - val_acc: 0.9570
Epoch 847/1000
334s 667ms/step - loss: 0.0980 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9575
Epoch 848/1000
334s 669ms/step - loss: 0.0981 - acc: 0.9994 - val_loss: 0.2632 - val_acc: 0.9570
Epoch 849/1000
334s 669ms/step - loss: 0.0976 - acc: 0.9996 - val_loss: 0.2643 - val_acc: 0.9568
Epoch 850/1000
334s 667ms/step - loss: 0.0977 - acc: 0.9995 - val_loss: 0.2665 - val_acc: 0.9562
Epoch 851/1000
333s 667ms/step - loss: 0.0972 - acc: 0.9996 - val_loss: 0.2661 - val_acc: 0.9558
Epoch 852/1000
334s 667ms/step - loss: 0.0973 - acc: 0.9995 - val_loss: 0.2645 - val_acc: 0.9567
Epoch 853/1000
333s 667ms/step - loss: 0.0968 - acc: 0.9997 - val_loss: 0.2615 - val_acc: 0.9568
Epoch 854/1000
333s 667ms/step - loss: 0.0969 - acc: 0.9996 - val_loss: 0.2617 - val_acc: 0.9560
Epoch 855/1000
334s 667ms/step - loss: 0.0966 - acc: 0.9997 - val_loss: 0.2616 - val_acc: 0.9563
Epoch 856/1000
334s 667ms/step - loss: 0.0967 - acc: 0.9996 - val_loss: 0.2621 - val_acc: 0.9569
Epoch 857/1000
334s 667ms/step - loss: 0.0963 - acc: 0.9997 - val_loss: 0.2619 - val_acc: 0.9570
Epoch 858/1000
333s 667ms/step - loss: 0.0961 - acc: 0.9997 - val_loss: 0.2616 - val_acc: 0.9569
Epoch 859/1000
333s 667ms/step - loss: 0.0961 - acc: 0.9996 - val_loss: 0.2601 - val_acc: 0.9574
Epoch 860/1000
333s 667ms/step - loss: 0.0964 - acc: 0.9995 - val_loss: 0.2591 - val_acc: 0.9570
Epoch 861/1000
334s 667ms/step - loss: 0.0959 - acc: 0.9996 - val_loss: 0.2598 - val_acc: 0.9571
Epoch 862/1000
333s 667ms/step - loss: 0.0961 - acc: 0.9995 - val_loss: 0.2597 - val_acc: 0.9565
Epoch 863/1000
334s 668ms/step - loss: 0.0957 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9572
Epoch 864/1000
334s 669ms/step - loss: 0.0957 - acc: 0.9995 - val_loss: 0.2642 - val_acc: 0.9562
Epoch 865/1000
334s 668ms/step - loss: 0.0957 - acc: 0.9994 - val_loss: 0.2569 - val_acc: 0.9570
Epoch 866/1000
333s 667ms/step - loss: 0.0953 - acc: 0.9996 - val_loss: 0.2587 - val_acc: 0.9564
Epoch 867/1000
333s 667ms/step - loss: 0.0952 - acc: 0.9995 - val_loss: 0.2606 - val_acc: 0.9560
Epoch 868/1000
333s 667ms/step - loss: 0.0953 - acc: 0.9996 - val_loss: 0.2566 - val_acc: 0.9586
Epoch 869/1000
333s 667ms/step - loss: 0.0948 - acc: 0.9997 - val_loss: 0.2599 - val_acc: 0.9576
Epoch 870/1000
333s 667ms/step - loss: 0.0952 - acc: 0.9995 - val_loss: 0.2598 - val_acc: 0.9564
Epoch 871/1000
334s 667ms/step - loss: 0.0950 - acc: 0.9995 - val_loss: 0.2591 - val_acc: 0.9567
Epoch 872/1000
334s 667ms/step - loss: 0.0945 - acc: 0.9996 - val_loss: 0.2568 - val_acc: 0.9577
Epoch 873/1000
334s 667ms/step - loss: 0.0945 - acc: 0.9996 - val_loss: 0.2610 - val_acc: 0.9565
Epoch 874/1000
334s 667ms/step - loss: 0.0942 - acc: 0.9996 - val_loss: 0.2598 - val_acc: 0.9551
Epoch 875/1000
334s 669ms/step - loss: 0.0941 - acc: 0.9995 - val_loss: 0.2574 - val_acc: 0.9579
Epoch 876/1000
334s 669ms/step - loss: 0.0942 - acc: 0.9996 - val_loss: 0.2578 - val_acc: 0.9566
Epoch 877/1000
334s 667ms/step - loss: 0.0938 - acc: 0.9996 - val_loss: 0.2568 - val_acc: 0.9563
Epoch 878/1000
333s 667ms/step - loss: 0.0934 - acc: 0.9997 - val_loss: 0.2554 - val_acc: 0.9564
Epoch 879/1000
333s 666ms/step - loss: 0.0935 - acc: 0.9997 - val_loss: 0.2569 - val_acc: 0.9563
Epoch 880/1000
334s 667ms/step - loss: 0.0936 - acc: 0.9997 - val_loss: 0.2580 - val_acc: 0.9564
Epoch 881/1000
333s 667ms/step - loss: 0.0936 - acc: 0.9995 - val_loss: 0.2569 - val_acc: 0.9561
Epoch 882/1000
334s 667ms/step - loss: 0.0931 - acc: 0.9996 - val_loss: 0.2581 - val_acc: 0.9563
Epoch 883/1000
334s 667ms/step - loss: 0.0929 - acc: 0.9997 - val_loss: 0.2587 - val_acc: 0.9571
Epoch 884/1000
334s 667ms/step - loss: 0.0931 - acc: 0.9995 - val_loss: 0.2602 - val_acc: 0.9572
Epoch 885/1000
333s 667ms/step - loss: 0.0925 - acc: 0.9997 - val_loss: 0.2569 - val_acc: 0.9574
Epoch 886/1000
334s 667ms/step - loss: 0.0928 - acc: 0.9997 - val_loss: 0.2591 - val_acc: 0.9584
Epoch 887/1000
335s 669ms/step - loss: 0.0926 - acc: 0.9995 - val_loss: 0.2612 - val_acc: 0.9570
Epoch 888/1000
334s 669ms/step - loss: 0.0929 - acc: 0.9994 - val_loss: 0.2594 - val_acc: 0.9577
Epoch 889/1000
334s 668ms/step - loss: 0.0922 - acc: 0.9997 - val_loss: 0.2591 - val_acc: 0.9567
Epoch 890/1000
333s 667ms/step - loss: 0.0926 - acc: 0.9994 - val_loss: 0.2588 - val_acc: 0.9571
Epoch 891/1000
334s 667ms/step - loss: 0.0923 - acc: 0.9995 - val_loss: 0.2615 - val_acc: 0.9563
Epoch 892/1000
334s 667ms/step - loss: 0.0919 - acc: 0.9995 - val_loss: 0.2573 - val_acc: 0.9580
Epoch 893/1000
334s 667ms/step - loss: 0.0918 - acc: 0.9997 - val_loss: 0.2585 - val_acc: 0.9570
Epoch 894/1000
334s 667ms/step - loss: 0.0919 - acc: 0.9997 - val_loss: 0.2587 - val_acc: 0.9571
Epoch 895/1000
334s 667ms/step - loss: 0.0913 - acc: 0.9998 - val_loss: 0.2579 - val_acc: 0.9568
Epoch 896/1000
334s 668ms/step - loss: 0.0916 - acc: 0.9996 - val_loss: 0.2551 - val_acc: 0.9581
Epoch 897/1000
334s 667ms/step - loss: 0.0915 - acc: 0.9995 - val_loss: 0.2544 - val_acc: 0.9578
Epoch 898/1000
334s 667ms/step - loss: 0.0919 - acc: 0.9994 - val_loss: 0.2601 - val_acc: 0.9558
Epoch 899/1000
333s 667ms/step - loss: 0.0914 - acc: 0.9996 - val_loss: 0.2554 - val_acc: 0.9575
Epoch 900/1000
334s 667ms/step - loss: 0.0909 - acc: 0.9995 - val_loss: 0.2557 - val_acc: 0.9576
Epoch 901/1000
lr changed to 9.999999310821295e-05
333s 667ms/step - loss: 0.0910 - acc: 0.9995 - val_loss: 0.2555 - val_acc: 0.9575
Epoch 902/1000
330s 660ms/step - loss: 0.0911 - acc: 0.9995 - val_loss: 0.2548 - val_acc: 0.9576
Epoch 903/1000
327s 654ms/step - loss: 0.0912 - acc: 0.9995 - val_loss: 0.2552 - val_acc: 0.9576
Epoch 904/1000
327s 653ms/step - loss: 0.0910 - acc: 0.9995 - val_loss: 0.2545 - val_acc: 0.9572
Epoch 905/1000
327s 654ms/step - loss: 0.0904 - acc: 0.9998 - val_loss: 0.2548 - val_acc: 0.9575
Epoch 906/1000
327s 653ms/step - loss: 0.0905 - acc: 0.9998 - val_loss: 0.2549 - val_acc: 0.9572
Epoch 907/1000
327s 654ms/step - loss: 0.0908 - acc: 0.9995 - val_loss: 0.2546 - val_acc: 0.9573
Epoch 908/1000
327s 654ms/step - loss: 0.0908 - acc: 0.9995 - val_loss: 0.2542 - val_acc: 0.9573
Epoch 909/1000
327s 654ms/step - loss: 0.0910 - acc: 0.9994 - val_loss: 0.2539 - val_acc: 0.9578
Epoch 910/1000
327s 654ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2538 - val_acc: 0.9575
Epoch 911/1000
327s 653ms/step - loss: 0.0908 - acc: 0.9996 - val_loss: 0.2537 - val_acc: 0.9574
Epoch 912/1000
327s 654ms/step - loss: 0.0906 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9573
Epoch 913/1000
327s 653ms/step - loss: 0.0903 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9575
Epoch 914/1000
331s 662ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2542 - val_acc: 0.9577
Epoch 915/1000
333s 667ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9572
Epoch 916/1000
331s 662ms/step - loss: 0.0905 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9574
Epoch 917/1000
327s 654ms/step - loss: 0.0905 - acc: 0.9995 - val_loss: 0.2543 - val_acc: 0.9576
Epoch 918/1000
327s 653ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9578
Epoch 919/1000
327s 654ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9578
Epoch 920/1000
327s 653ms/step - loss: 0.0902 - acc: 0.9998 - val_loss: 0.2545 - val_acc: 0.9575
Epoch 921/1000
327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9578
Epoch 922/1000
327s 653ms/step - loss: 0.0903 - acc: 0.9996 - val_loss: 0.2542 - val_acc: 0.9575
Epoch 923/1000
327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9577
Epoch 924/1000
327s 654ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2548 - val_acc: 0.9573
Epoch 925/1000
327s 654ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2547 - val_acc: 0.9574
Epoch 926/1000
327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2546 - val_acc: 0.9575
Epoch 927/1000
327s 653ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2545 - val_acc: 0.9576
Epoch 928/1000
327s 654ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2543 - val_acc: 0.9576
Epoch 929/1000
327s 654ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9579
Epoch 930/1000
327s 654ms/step - loss: 0.0902 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9577
Epoch 931/1000
327s 653ms/step - loss: 0.0904 - acc: 0.9995 - val_loss: 0.2539 - val_acc: 0.9576
Epoch 932/1000
327s 655ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9577
Epoch 933/1000
327s 654ms/step - loss: 0.0902 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9578
Epoch 934/1000
327s 654ms/step - loss: 0.0899 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9579
Epoch 935/1000
327s 654ms/step - loss: 0.0907 - acc: 0.9995 - val_loss: 0.2542 - val_acc: 0.9579
Epoch 936/1000
327s 654ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9576
Epoch 937/1000
327s 655ms/step - loss: 0.0900 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9575
Epoch 938/1000
328s 655ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9577
Epoch 939/1000
329s 659ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9580
Epoch 940/1000
328s 657ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2544 - val_acc: 0.9577
Epoch 941/1000
328s 657ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9575
Epoch 942/1000
333s 666ms/step - loss: 0.0900 - acc: 0.9996 - val_loss: 0.2536 - val_acc: 0.9577
Epoch 943/1000
333s 667ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2536 - val_acc: 0.9575
Epoch 944/1000
329s 657ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2536 - val_acc: 0.9575
Epoch 945/1000
326s 653ms/step - loss: 0.0899 - acc: 0.9998 - val_loss: 0.2537 - val_acc: 0.9577
Epoch 946/1000
327s 654ms/step - loss: 0.0899 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9577
Epoch 947/1000
326s 652ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2533 - val_acc: 0.9580
Epoch 948/1000
326s 652ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2529 - val_acc: 0.9576
Epoch 949/1000
326s 652ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2530 - val_acc: 0.9582
Epoch 950/1000
326s 653ms/step - loss: 0.0898 - acc: 0.9998 - val_loss: 0.2528 - val_acc: 0.9578
Epoch 951/1000
326s 652ms/step - loss: 0.0897 - acc: 0.9998 - val_loss: 0.2531 - val_acc: 0.9581
Epoch 952/1000
326s 653ms/step - loss: 0.0894 - acc: 0.9999 - val_loss: 0.2533 - val_acc: 0.9584
Epoch 953/1000
327s 654ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2534 - val_acc: 0.9580
Epoch 954/1000
327s 654ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2535 - val_acc: 0.9583
Epoch 955/1000
327s 654ms/step - loss: 0.0900 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9579
Epoch 956/1000
327s 653ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2533 - val_acc: 0.9581
Epoch 957/1000
327s 654ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2528 - val_acc: 0.9581
Epoch 958/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2530 - val_acc: 0.9580
Epoch 959/1000
327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2537 - val_acc: 0.9582
Epoch 960/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9578
Epoch 961/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2533 - val_acc: 0.9580
Epoch 962/1000
327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2529 - val_acc: 0.9579
Epoch 963/1000
327s 653ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9576
Epoch 964/1000
327s 653ms/step - loss: 0.0896 - acc: 0.9997 - val_loss: 0.2536 - val_acc: 0.9580
Epoch 965/1000
327s 653ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9583
Epoch 966/1000
327s 654ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9581
Epoch 967/1000
327s 654ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2536 - val_acc: 0.9582
Epoch 968/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9583
Epoch 969/1000
327s 654ms/step - loss: 0.0896 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9580
Epoch 970/1000
327s 654ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2545 - val_acc: 0.9584
Epoch 971/1000
327s 655ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9582
Epoch 972/1000
327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9577
Epoch 973/1000
327s 654ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2541 - val_acc: 0.9581
Epoch 974/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9583
Epoch 975/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9580
Epoch 976/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9580
Epoch 977/1000
327s 654ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2542 - val_acc: 0.9576
Epoch 978/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9576
Epoch 979/1000
327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2546 - val_acc: 0.9576
Epoch 980/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2549 - val_acc: 0.9579
Epoch 981/1000
327s 653ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2551 - val_acc: 0.9579
Epoch 982/1000
327s 654ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2546 - val_acc: 0.9584
Epoch 983/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2548 - val_acc: 0.9584
Epoch 984/1000
327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9583
Epoch 985/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9581
Epoch 986/1000
327s 654ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2540 - val_acc: 0.9577
Epoch 987/1000
328s 656ms/step - loss: 0.0894 - acc: 0.9998 - val_loss: 0.2537 - val_acc: 0.9575
Epoch 988/1000
327s 653ms/step - loss: 0.0892 - acc: 0.9998 - val_loss: 0.2540 - val_acc: 0.9579
Epoch 989/1000
327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9578
Epoch 990/1000
327s 654ms/step - loss: 0.0893 - acc: 0.9997 - val_loss: 0.2539 - val_acc: 0.9581
Epoch 991/1000
327s 654ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9578
Epoch 992/1000
327s 654ms/step - loss: 0.0890 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9579
Epoch 993/1000
327s 654ms/step - loss: 0.0892 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9583
Epoch 994/1000
327s 653ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2542 - val_acc: 0.9580
Epoch 995/1000
326s 653ms/step - loss: 0.0893 - acc: 0.9998 - val_loss: 0.2548 - val_acc: 0.9577
Epoch 996/1000
327s 654ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2547 - val_acc: 0.9580
Epoch 997/1000
327s 653ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2540 - val_acc: 0.9582
Epoch 998/1000
326s 652ms/step - loss: 0.0891 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9580
Epoch 999/1000
326s 652ms/step - loss: 0.0890 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9582
Epoch 1000/1000
326s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9577
Train loss: 0.08789637273550034
Train accuracy: 0.999960000038147
Test loss: 0.25383884519338606
Test accuracy: 0.9577000015974044

相较于调参记录24,本次的测试准确率还降低了0.03%。

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

更新:
期间遇到一个问题,将一模一样的程序,拿到另一台硬件和工具包完全相同的电脑上,结果loss在第一个epoch就急剧飙升,然后成为nan。反复尝试了很多次,每次都这样。折腾了两天,更换了很多显卡驱动、Cuda、TensorFlow和Keras的版本,最后也没有解决,放弃了。