Hyper-Parameter(Tuner)

import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers

import IPython

Keras Tuner를 설치하고 가져옵니다.

!pip install -q -U keras-tuner
import kerastuner as kt

데이터 세트 다운로드 및 준비
- 이 자습서에서는 Keras Tuner를 사용하여 Fashion MNIST 데이터 세트 에서 의류 이미지를 분류하는 기계 학습 모델에 가장 적합한 하이퍼 파라미터를 찾습니다.

# 데이터 로드
(img_train, label_train), (img_test, label_test) = keras.datasets.fashion_mnist.load_data()

# Normalize pixel values between 0 and 1
img_train = img_train.astype('float32') / 255.0
img_test = img_test.astype('float32') / 255.0

img_train.shape, label_train.shape

((60000, 28, 28), (60000,))

모델 정의

def model_builder(hp):
    model = keras.Sequential()
    model.add(keras.layers.Flatten(input_shape=(28, 28)))
    
    # Tune the number of units in the first Dense layer
    # Choose an optimal value between 32-512
    hp_units = hp.Int('units', min_value = 32, max_value = 512, step = 32)
    model.add(keras.layers.Dense(units = hp_units, activation = 'relu'))
    model.add(keras.layers.Dense(10))
    
    # Tune the learning rate for the optimizer 
    # Choose an optimal value from 0.01, 0.001, or 0.0001
    hp_learning_rate = hp.Choice('learning_rate', values = [1e-2, 1e-3, 1e-4]) 
    
    model.compile(optimizer = keras.optimizers.Adam(learning_rate = hp_learning_rate),
                  loss = keras.losses.SparseCategoricalCrossentropy(from_logits = True), 
                  metrics = ['accuracy'])
    
    return model

튜너를 인스턴스화하고 하이퍼 튜닝을 수행합니다

튜너를 인스턴스화하여 하이퍼 튜닝을 수행합니다. Hyperband Tuner에는 RandomSearch , Hyperband , BayesianOptimization 및 Sklearn 네 가지 튜너가 있습니다. 이 자습서에서는 하이퍼 밴드 튜너를 사용합니다.

하이퍼 밴드 튜너를 인스턴스화하려면 하이퍼 모델, 최적화 할 objective 및 훈련 할 최대 max_epochs ( max_epochs )를 지정해야합니다.

tuner = kt.Hyperband(model_builder,
                     objective = 'val_accuracy', 
                     max_epochs = 10,
                     factor = 3,
                     directory = 'my_dir',
                     project_name = 'intro_to_kt')

INFO:tensorflow:Reloading Oracle from existing project my_dir/intro_to_kt/oracle.json
INFO:tensorflow:Reloading Tuner from my_dir/intro_to_kt/tuner0.json

class ClearTrainingOutput(tf.keras.callbacks.Callback):
    def on_train_end(*args, **kwargs):
        IPython.display.clear_output(wait = True)

tuner.search(img_train, label_train, epochs = 10, validation_data = (img_test, label_test), callbacks = [ClearTrainingOutput()])

# Get the optimal hyperparameters
best_hps = tuner.get_best_hyperparameters(num_trials = 1)[0]

print(f"""
The hyperparameter search is complete. The optimal number of units in the first densely-connected
layer is {best_hps.get('units')} and the optimal learning rate for the optimizer
is {best_hps.get('learning_rate')}.
""")

Trial complete

Trial summary

|-Trial ID: a07676c4549fc425444c7c101819cb0a

|-Score: 0.8574000000953674

|-Best step: 0

Hyperparameters:

|-learning_rate: 0.0001

|-tuner/bracket: 0

|-tuner/epochs: 10

|-tuner/initial_epoch: 0

|-tuner/round: 0

|-units: 64

INFO:tensorflow:Oracle triggered exit

The hyperparameter search is complete. The optimal number of units in the first densely-connected
layer is 384 and the optimal learning rate for the optimizer
is 0.001.

# Build the model with the optimal hyperparameters and train it on the data
model = tuner.hypermodel.build(best_hps)
model.fit(img_train, label_train, epochs = 10, validation_data = (img_test, label_test))

Epoch 1/10
1875/1875 [==============================] - ETA: 8:42 - loss: 2.1883 - accuracy: 0.18 - ETA: 20s - loss: 1.5613 - accuracy: 0.4721 - ETA: 11s - loss: 1.3144 - accuracy: 0.550 - ETA: 9s - loss: 1.1853 - accuracy: 0.591 - ETA: 7s - loss: 1.1046 - accuracy: 0.61 - ETA: 6s - loss: 1.0539 - accuracy: 0.63 - ETA: 6s - loss: 1.0195 - accuracy: 0.64 - ETA: 6s - loss: 0.9893 - accuracy: 0.65 - ETA: 5s - loss: 0.9689 - accuracy: 0.66 - ETA: 5s - loss: 0.9544 - accuracy: 0.67 - ETA: 6s - loss: 0.9429 - accuracy: 0.67 - ETA: 5s - loss: 0.9283 - accuracy: 0.68 - ETA: 5s - loss: 0.9130 - accuracy: 0.68 - ETA: 5s - loss: 0.9015 - accuracy: 0.68 - ETA: 5s - loss: 0.8923 - accuracy: 0.69 - ETA: 5s - loss: 0.8822 - accuracy: 0.69 - ETA: 5s - loss: 0.8716 - accuracy: 0.69 - ETA: 5s - loss: 0.8618 - accuracy: 0.70 - ETA: 5s - loss: 0.8483 - accuracy: 0.70 - ETA: 5s - loss: 0.8360 - accuracy: 0.71 - ETA: 4s - loss: 0.8242 - accuracy: 0.71 - ETA: 4s - loss: 0.8147 - accuracy: 0.71 - ETA: 4s - loss: 0.8061 - accuracy: 0.72 - ETA: 4s - loss: 0.8001 - accuracy: 0.72 - ETA: 4s - loss: 0.7961 - accuracy: 0.72 - ETA: 4s - loss: 0.7900 - accuracy: 0.72 - ETA: 4s - loss: 0.7842 - accuracy: 0.72 - ETA: 4s - loss: 0.7790 - accuracy: 0.73 - ETA: 4s - loss: 0.7746 - accuracy: 0.73 - ETA: 4s - loss: 0.7703 - accuracy: 0.73 - ETA: 4s - loss: 0.7662 - accuracy: 0.73 - ETA: 4s - loss: 0.7617 - accuracy: 0.73 - ETA: 4s - loss: 0.7573 - accuracy: 0.73 - ETA: 4s - loss: 0.7536 - accuracy: 0.73 - ETA: 4s - loss: 0.7493 - accuracy: 0.73 - ETA: 4s - loss: 0.7453 - accuracy: 0.74 - ETA: 3s - loss: 0.7407 - accuracy: 0.74 - ETA: 3s - loss: 0.7365 - accuracy: 0.74 - ETA: 3s - loss: 0.7324 - accuracy: 0.74 - ETA: 3s - loss: 0.7288 - accuracy: 0.74 - ETA: 3s - loss: 0.7252 - accuracy: 0.74 - ETA: 3s - loss: 0.7212 - accuracy: 0.74 - ETA: 3s - loss: 0.7171 - accuracy: 0.75 - ETA: 3s - loss: 0.7132 - accuracy: 0.75 - ETA: 3s - loss: 0.7094 - accuracy: 0.75 - ETA: 3s - loss: 0.7059 - accuracy: 0.75 - ETA: 3s - loss: 0.7021 - accuracy: 0.75 - ETA: 3s - loss: 0.6986 - accuracy: 0.75 - ETA: 3s - loss: 0.6962 - accuracy: 0.75 - ETA: 3s - loss: 0.6929 - accuracy: 0.75 - ETA: 2s - loss: 0.6897 - accuracy: 0.75 - ETA: 2s - loss: 0.6866 - accuracy: 0.76 - ETA: 2s - loss: 0.6839 - accuracy: 0.76 - ETA: 2s - loss: 0.6810 - accuracy: 0.76 - ETA: 2s - loss: 0.6781 - accuracy: 0.76 - ETA: 2s - loss: 0.6753 - accuracy: 0.76 - ETA: 2s - loss: 0.6728 - accuracy: 0.76 - ETA: 2s - loss: 0.6704 - accuracy: 0.76 - ETA: 2s - loss: 0.6682 - accuracy: 0.76 - ETA: 2s - loss: 0.6657 - accuracy: 0.76 - ETA: 2s - loss: 0.6633 - accuracy: 0.76 - ETA: 2s - loss: 0.6607 - accuracy: 0.76 - ETA: 2s - loss: 0.6584 - accuracy: 0.76 - ETA: 2s - loss: 0.6561 - accuracy: 0.77 - ETA: 2s - loss: 0.6541 - accuracy: 0.77 - ETA: 2s - loss: 0.6521 - accuracy: 0.77 - ETA: 1s - loss: 0.6500 - accuracy: 0.77 - ETA: 1s - loss: 0.6479 - accuracy: 0.77 - ETA: 1s - loss: 0.6457 - accuracy: 0.77 - ETA: 1s - loss: 0.6433 - accuracy: 0.77 - ETA: 1s - loss: 0.6410 - accuracy: 0.77 - ETA: 1s - loss: 0.6388 - accuracy: 0.77 - ETA: 1s - loss: 0.6366 - accuracy: 0.77 - ETA: 1s - loss: 0.6347 - accuracy: 0.77 - ETA: 1s - loss: 0.6324 - accuracy: 0.77 - ETA: 1s - loss: 0.6302 - accuracy: 0.77 - ETA: 1s - loss: 0.6281 - accuracy: 0.77 - ETA: 1s - loss: 0.6260 - accuracy: 0.78 - ETA: 1s - loss: 0.6240 - accuracy: 0.78 - ETA: 1s - loss: 0.6221 - accuracy: 0.78 - ETA: 1s - loss: 0.6202 - accuracy: 0.78 - ETA: 0s - loss: 0.6182 - accuracy: 0.78 - ETA: 0s - loss: 0.6163 - accuracy: 0.78 - ETA: 0s - loss: 0.6144 - accuracy: 0.78 - ETA: 0s - loss: 0.6126 - accuracy: 0.78 - ETA: 0s - loss: 0.6108 - accuracy: 0.78 - ETA: 0s - loss: 0.6092 - accuracy: 0.78 - ETA: 0s - loss: 0.6077 - accuracy: 0.78 - ETA: 0s - loss: 0.6061 - accuracy: 0.78 - ETA: 0s - loss: 0.6043 - accuracy: 0.78 - ETA: 0s - loss: 0.6026 - accuracy: 0.78 - ETA: 0s - loss: 0.6010 - accuracy: 0.78 - ETA: 0s - loss: 0.5995 - accuracy: 0.78 - ETA: 0s - loss: 0.5981 - accuracy: 0.78 - ETA: 0s - loss: 0.5965 - accuracy: 0.79 - 6s 3ms/step - loss: 0.5951 - accuracy: 0.7907 - val_loss: 0.4127 - val_accuracy: 0.8468
Epoch 2/10
1875/1875 [==============================] - ETA: 8s - loss: 0.4197 - accuracy: 0.84 - ETA: 3s - loss: 0.4062 - accuracy: 0.85 - ETA: 3s - loss: 0.3977 - accuracy: 0.85 - ETA: 3s - loss: 0.3848 - accuracy: 0.86 - ETA: 3s - loss: 0.3777 - accuracy: 0.86 - ETA: 3s - loss: 0.3730 - accuracy: 0.86 - ETA: 3s - loss: 0.3704 - accuracy: 0.86 - ETA: 3s - loss: 0.3683 - accuracy: 0.86 - ETA: 3s - loss: 0.3674 - accuracy: 0.86 - ETA: 3s - loss: 0.3670 - accuracy: 0.86 - ETA: 3s - loss: 0.3664 - accuracy: 0.86 - ETA: 3s - loss: 0.3659 - accuracy: 0.86 - ETA: 3s - loss: 0.3653 - accuracy: 0.86 - ETA: 3s - loss: 0.3650 - accuracy: 0.86 - ETA: 3s - loss: 0.3650 - accuracy: 0.86 - ETA: 3s - loss: 0.3650 - accuracy: 0.86 - ETA: 3s - loss: 0.3651 - accuracy: 0.86 - ETA: 3s - loss: 0.3652 - accuracy: 0.86 - ETA: 3s - loss: 0.3654 - accuracy: 0.86 - ETA: 3s - loss: 0.3655 - accuracy: 0.86 - ETA: 2s - loss: 0.3657 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3661 - accuracy: 0.86 - ETA: 2s - loss: 0.3661 - accuracy: 0.86 - ETA: 2s - loss: 0.3661 - accuracy: 0.86 - ETA: 2s - loss: 0.3661 - accuracy: 0.86 - ETA: 2s - loss: 0.3661 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3660 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3659 - accuracy: 0.86 - ETA: 2s - loss: 0.3658 - accuracy: 0.86 - ETA: 2s - loss: 0.3658 - accuracy: 0.86 - ETA: 2s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3659 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3658 - accuracy: 0.86 - ETA: 1s - loss: 0.3657 - accuracy: 0.86 - ETA: 1s - loss: 0.3657 - accuracy: 0.86 - ETA: 0s - loss: 0.3657 - accuracy: 0.86 - ETA: 0s - loss: 0.3656 - accuracy: 0.86 - ETA: 0s - loss: 0.3656 - accuracy: 0.86 - ETA: 0s - loss: 0.3656 - accuracy: 0.86 - ETA: 0s - loss: 0.3656 - accuracy: 0.86 - ETA: 0s - loss: 0.3655 - accuracy: 0.86 - ETA: 0s - loss: 0.3655 - accuracy: 0.86 - ETA: 0s - loss: 0.3655 - accuracy: 0.86 - ETA: 0s - loss: 0.3655 - accuracy: 0.86 - ETA: 0s - loss: 0.3654 - accuracy: 0.86 - ETA: 0s - loss: 0.3654 - accuracy: 0.86 - ETA: 0s - loss: 0.3654 - accuracy: 0.86 - ETA: 0s - loss: 0.3654 - accuracy: 0.86 - ETA: 0s - loss: 0.3653 - accuracy: 0.86 - ETA: 0s - loss: 0.3653 - accuracy: 0.86 - ETA: 0s - loss: 0.3653 - accuracy: 0.86 - ETA: 0s - loss: 0.3652 - accuracy: 0.86 - ETA: 0s - loss: 0.3652 - accuracy: 0.86 - ETA: 0s - loss: 0.3651 - accuracy: 0.86 - 4s 2ms/step - loss: 0.3651 - accuracy: 0.8674 - val_loss: 0.3735 - val_accuracy: 0.8663
Epoch 3/10
1875/1875 [==============================] - ETA: 7s - loss: 0.2668 - accuracy: 0.87 - ETA: 4s - loss: 0.2867 - accuracy: 0.88 - ETA: 4s - loss: 0.2901 - accuracy: 0.89 - ETA: 4s - loss: 0.2983 - accuracy: 0.89 - ETA: 3s - loss: 0.3031 - accuracy: 0.89 - ETA: 3s - loss: 0.3054 - accuracy: 0.89 - ETA: 3s - loss: 0.3067 - accuracy: 0.89 - ETA: 3s - loss: 0.3087 - accuracy: 0.88 - ETA: 3s - loss: 0.3110 - accuracy: 0.88 - ETA: 3s - loss: 0.3125 - accuracy: 0.88 - ETA: 3s - loss: 0.3140 - accuracy: 0.88 - ETA: 3s - loss: 0.3150 - accuracy: 0.88 - ETA: 3s - loss: 0.3159 - accuracy: 0.88 - ETA: 3s - loss: 0.3167 - accuracy: 0.88 - ETA: 3s - loss: 0.3174 - accuracy: 0.88 - ETA: 3s - loss: 0.3180 - accuracy: 0.88 - ETA: 3s - loss: 0.3185 - accuracy: 0.88 - ETA: 3s - loss: 0.3189 - accuracy: 0.88 - ETA: 3s - loss: 0.3194 - accuracy: 0.88 - ETA: 3s - loss: 0.3199 - accuracy: 0.88 - ETA: 3s - loss: 0.3202 - accuracy: 0.88 - ETA: 3s - loss: 0.3205 - accuracy: 0.88 - ETA: 3s - loss: 0.3208 - accuracy: 0.88 - ETA: 3s - loss: 0.3212 - accuracy: 0.88 - ETA: 3s - loss: 0.3214 - accuracy: 0.88 - ETA: 3s - loss: 0.3215 - accuracy: 0.88 - ETA: 2s - loss: 0.3217 - accuracy: 0.88 - ETA: 2s - loss: 0.3219 - accuracy: 0.88 - ETA: 2s - loss: 0.3220 - accuracy: 0.88 - ETA: 2s - loss: 0.3221 - accuracy: 0.88 - ETA: 2s - loss: 0.3222 - accuracy: 0.88 - ETA: 2s - loss: 0.3222 - accuracy: 0.88 - ETA: 2s - loss: 0.3222 - accuracy: 0.88 - ETA: 2s - loss: 0.3223 - accuracy: 0.88 - ETA: 2s - loss: 0.3223 - accuracy: 0.88 - ETA: 2s - loss: 0.3224 - accuracy: 0.88 - ETA: 2s - loss: 0.3225 - accuracy: 0.88 - ETA: 2s - loss: 0.3226 - accuracy: 0.88 - ETA: 2s - loss: 0.3227 - accuracy: 0.88 - ETA: 2s - loss: 0.3229 - accuracy: 0.88 - ETA: 2s - loss: 0.3230 - accuracy: 0.88 - ETA: 2s - loss: 0.3232 - accuracy: 0.88 - ETA: 2s - loss: 0.3233 - accuracy: 0.88 - ETA: 1s - loss: 0.3234 - accuracy: 0.88 - ETA: 1s - loss: 0.3235 - accuracy: 0.88 - ETA: 1s - loss: 0.3236 - accuracy: 0.88 - ETA: 1s - loss: 0.3237 - accuracy: 0.88 - ETA: 1s - loss: 0.3239 - accuracy: 0.88 - ETA: 1s - loss: 0.3240 - accuracy: 0.88 - ETA: 1s - loss: 0.3240 - accuracy: 0.88 - ETA: 1s - loss: 0.3241 - accuracy: 0.88 - ETA: 1s - loss: 0.3242 - accuracy: 0.88 - ETA: 1s - loss: 0.3242 - accuracy: 0.88 - ETA: 1s - loss: 0.3242 - accuracy: 0.88 - ETA: 1s - loss: 0.3242 - accuracy: 0.88 - ETA: 1s - loss: 0.3243 - accuracy: 0.88 - ETA: 1s - loss: 0.3243 - accuracy: 0.88 - ETA: 1s - loss: 0.3243 - accuracy: 0.88 - ETA: 1s - loss: 0.3244 - accuracy: 0.88 - ETA: 1s - loss: 0.3244 - accuracy: 0.88 - ETA: 1s - loss: 0.3244 - accuracy: 0.88 - ETA: 1s - loss: 0.3243 - accuracy: 0.88 - ETA: 0s - loss: 0.3243 - accuracy: 0.88 - ETA: 0s - loss: 0.3243 - accuracy: 0.88 - ETA: 0s - loss: 0.3243 - accuracy: 0.88 - ETA: 0s - loss: 0.3242 - accuracy: 0.88 - ETA: 0s - loss: 0.3242 - accuracy: 0.88 - ETA: 0s - loss: 0.3242 - accuracy: 0.88 - ETA: 0s - loss: 0.3241 - accuracy: 0.88 - ETA: 0s - loss: 0.3241 - accuracy: 0.88 - ETA: 0s - loss: 0.3241 - accuracy: 0.88 - ETA: 0s - loss: 0.3241 - accuracy: 0.88 - ETA: 0s - loss: 0.3240 - accuracy: 0.88 - ETA: 0s - loss: 0.3240 - accuracy: 0.88 - ETA: 0s - loss: 0.3240 - accuracy: 0.88 - ETA: 0s - loss: 0.3240 - accuracy: 0.88 - ETA: 0s - loss: 0.3239 - accuracy: 0.88 - ETA: 0s - loss: 0.3239 - accuracy: 0.88 - ETA: 0s - loss: 0.3239 - accuracy: 0.88 - ETA: 0s - loss: 0.3238 - accuracy: 0.88 - ETA: 0s - loss: 0.3238 - accuracy: 0.88 - 4s 2ms/step - loss: 0.3238 - accuracy: 0.8810 - val_loss: 0.3695 - val_accuracy: 0.8646
Epoch 4/10
1875/1875 [==============================] - ETA: 7s - loss: 0.2077 - accuracy: 0.87 - ETA: 4s - loss: 0.3105 - accuracy: 0.85 - ETA: 4s - loss: 0.3010 - accuracy: 0.86 - ETA: 3s - loss: 0.2976 - accuracy: 0.87 - ETA: 3s - loss: 0.2957 - accuracy: 0.87 - ETA: 3s - loss: 0.2952 - accuracy: 0.88 - ETA: 3s - loss: 0.2951 - accuracy: 0.88 - ETA: 3s - loss: 0.2948 - accuracy: 0.88 - ETA: 3s - loss: 0.2947 - accuracy: 0.88 - ETA: 3s - loss: 0.2943 - accuracy: 0.88 - ETA: 3s - loss: 0.2940 - accuracy: 0.88 - ETA: 3s - loss: 0.2937 - accuracy: 0.88 - ETA: 3s - loss: 0.2934 - accuracy: 0.88 - ETA: 3s - loss: 0.2931 - accuracy: 0.88 - ETA: 3s - loss: 0.2927 - accuracy: 0.88 - ETA: 3s - loss: 0.2925 - accuracy: 0.88 - ETA: 3s - loss: 0.2924 - accuracy: 0.88 - ETA: 3s - loss: 0.2923 - accuracy: 0.88 - ETA: 3s - loss: 0.2924 - accuracy: 0.88 - ETA: 3s - loss: 0.2923 - accuracy: 0.88 - ETA: 3s - loss: 0.2923 - accuracy: 0.88 - ETA: 3s - loss: 0.2923 - accuracy: 0.88 - ETA: 3s - loss: 0.2924 - accuracy: 0.88 - ETA: 2s - loss: 0.2924 - accuracy: 0.88 - ETA: 2s - loss: 0.2925 - accuracy: 0.88 - ETA: 2s - loss: 0.2926 - accuracy: 0.88 - ETA: 3s - loss: 0.2927 - accuracy: 0.88 - ETA: 2s - loss: 0.2928 - accuracy: 0.88 - ETA: 2s - loss: 0.2928 - accuracy: 0.88 - ETA: 2s - loss: 0.2929 - accuracy: 0.88 - ETA: 2s - loss: 0.2930 - accuracy: 0.88 - ETA: 2s - loss: 0.2930 - accuracy: 0.88 - ETA: 2s - loss: 0.2931 - accuracy: 0.88 - ETA: 2s - loss: 0.2932 - accuracy: 0.88 - ETA: 2s - loss: 0.2932 - accuracy: 0.88 - ETA: 2s - loss: 0.2932 - accuracy: 0.88 - ETA: 2s - loss: 0.2932 - accuracy: 0.88 - ETA: 2s - loss: 0.2932 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2933 - accuracy: 0.88 - ETA: 2s - loss: 0.2934 - accuracy: 0.88 - ETA: 2s - loss: 0.2934 - accuracy: 0.88 - ETA: 1s - loss: 0.2935 - accuracy: 0.88 - ETA: 1s - loss: 0.2935 - accuracy: 0.88 - ETA: 1s - loss: 0.2935 - accuracy: 0.88 - ETA: 1s - loss: 0.2936 - accuracy: 0.88 - ETA: 1s - loss: 0.2936 - accuracy: 0.88 - ETA: 1s - loss: 0.2937 - accuracy: 0.88 - ETA: 1s - loss: 0.2938 - accuracy: 0.88 - ETA: 1s - loss: 0.2939 - accuracy: 0.89 - ETA: 1s - loss: 0.2940 - accuracy: 0.89 - ETA: 1s - loss: 0.2940 - accuracy: 0.89 - ETA: 1s - loss: 0.2941 - accuracy: 0.89 - ETA: 1s - loss: 0.2942 - accuracy: 0.89 - ETA: 1s - loss: 0.2942 - accuracy: 0.89 - ETA: 1s - loss: 0.2943 - accuracy: 0.88 - ETA: 1s - loss: 0.2944 - accuracy: 0.88 - ETA: 1s - loss: 0.2944 - accuracy: 0.88 - ETA: 1s - loss: 0.2945 - accuracy: 0.88 - ETA: 0s - loss: 0.2946 - accuracy: 0.88 - ETA: 0s - loss: 0.2946 - accuracy: 0.88 - ETA: 0s - loss: 0.2947 - accuracy: 0.88 - ETA: 0s - loss: 0.2947 - accuracy: 0.88 - ETA: 0s - loss: 0.2948 - accuracy: 0.88 - ETA: 0s - loss: 0.2948 - accuracy: 0.88 - ETA: 0s - loss: 0.2949 - accuracy: 0.88 - ETA: 0s - loss: 0.2950 - accuracy: 0.88 - ETA: 0s - loss: 0.2950 - accuracy: 0.88 - ETA: 0s - loss: 0.2951 - accuracy: 0.88 - ETA: 0s - loss: 0.2952 - accuracy: 0.88 - ETA: 0s - loss: 0.2952 - accuracy: 0.88 - ETA: 0s - loss: 0.2953 - accuracy: 0.88 - ETA: 0s - loss: 0.2953 - accuracy: 0.88 - ETA: 0s - loss: 0.2954 - accuracy: 0.88 - ETA: 0s - loss: 0.2954 - accuracy: 0.88 - ETA: 0s - loss: 0.2955 - accuracy: 0.88 - ETA: 0s - loss: 0.2955 - accuracy: 0.88 - ETA: 0s - loss: 0.2956 - accuracy: 0.88 - 4s 2ms/step - loss: 0.2956 - accuracy: 0.8898 - val_loss: 0.3532 - val_accuracy: 0.8745
Epoch 5/10
1875/1875 [==============================] - ETA: 7s - loss: 0.3435 - accuracy: 0.87 - ETA: 4s - loss: 0.3009 - accuracy: 0.89 - ETA: 3s - loss: 0.2893 - accuracy: 0.89 - ETA: 3s - loss: 0.2885 - accuracy: 0.89 - ETA: 3s - loss: 0.2894 - accuracy: 0.89 - ETA: 3s - loss: 0.2882 - accuracy: 0.89 - ETA: 3s - loss: 0.2872 - accuracy: 0.89 - ETA: 3s - loss: 0.2868 - accuracy: 0.89 - ETA: 3s - loss: 0.2870 - accuracy: 0.89 - ETA: 3s - loss: 0.2877 - accuracy: 0.89 - ETA: 3s - loss: 0.2885 - accuracy: 0.89 - ETA: 3s - loss: 0.2888 - accuracy: 0.89 - ETA: 3s - loss: 0.2889 - accuracy: 0.89 - ETA: 3s - loss: 0.2889 - accuracy: 0.89 - ETA: 3s - loss: 0.2887 - accuracy: 0.89 - ETA: 3s - loss: 0.2883 - accuracy: 0.89 - ETA: 3s - loss: 0.2881 - accuracy: 0.89 - ETA: 3s - loss: 0.2880 - accuracy: 0.89 - ETA: 3s - loss: 0.2879 - accuracy: 0.89 - ETA: 3s - loss: 0.2877 - accuracy: 0.89 - ETA: 2s - loss: 0.2875 - accuracy: 0.89 - ETA: 2s - loss: 0.2872 - accuracy: 0.89 - ETA: 2s - loss: 0.2870 - accuracy: 0.89 - ETA: 2s - loss: 0.2867 - accuracy: 0.89 - ETA: 2s - loss: 0.2865 - accuracy: 0.89 - ETA: 2s - loss: 0.2863 - accuracy: 0.89 - ETA: 2s - loss: 0.2861 - accuracy: 0.89 - ETA: 2s - loss: 0.2859 - accuracy: 0.89 - ETA: 2s - loss: 0.2858 - accuracy: 0.89 - ETA: 2s - loss: 0.2856 - accuracy: 0.89 - ETA: 2s - loss: 0.2854 - accuracy: 0.89 - ETA: 2s - loss: 0.2852 - accuracy: 0.89 - ETA: 2s - loss: 0.2851 - accuracy: 0.89 - ETA: 2s - loss: 0.2850 - accuracy: 0.89 - ETA: 2s - loss: 0.2849 - accuracy: 0.89 - ETA: 2s - loss: 0.2849 - accuracy: 0.89 - ETA: 2s - loss: 0.2848 - accuracy: 0.89 - ETA: 2s - loss: 0.2848 - accuracy: 0.89 - ETA: 2s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2848 - accuracy: 0.89 - ETA: 1s - loss: 0.2847 - accuracy: 0.89 - ETA: 1s - loss: 0.2847 - accuracy: 0.89 - ETA: 1s - loss: 0.2847 - accuracy: 0.89 - ETA: 1s - loss: 0.2847 - accuracy: 0.89 - ETA: 1s - loss: 0.2847 - accuracy: 0.89 - ETA: 1s - loss: 0.2846 - accuracy: 0.89 - ETA: 1s - loss: 0.2846 - accuracy: 0.89 - ETA: 1s - loss: 0.2845 - accuracy: 0.89 - ETA: 1s - loss: 0.2845 - accuracy: 0.89 - ETA: 1s - loss: 0.2845 - accuracy: 0.89 - ETA: 1s - loss: 0.2844 - accuracy: 0.89 - ETA: 1s - loss: 0.2844 - accuracy: 0.89 - ETA: 1s - loss: 0.2844 - accuracy: 0.89 - ETA: 1s - loss: 0.2843 - accuracy: 0.89 - ETA: 1s - loss: 0.2843 - accuracy: 0.89 - ETA: 0s - loss: 0.2843 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2842 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2841 - accuracy: 0.89 - ETA: 0s - loss: 0.2840 - accuracy: 0.89 - ETA: 0s - loss: 0.2840 - accuracy: 0.89 - ETA: 0s - loss: 0.2840 - accuracy: 0.89 - ETA: 0s - loss: 0.2840 - accuracy: 0.89 - ETA: 0s - loss: 0.2840 - accuracy: 0.89 - ETA: 0s - loss: 0.2839 - accuracy: 0.89 - 5s 2ms/step - loss: 0.2839 - accuracy: 0.8954 - val_loss: 0.3473 - val_accuracy: 0.8731
Epoch 6/10
1875/1875 [==============================] - ETA: 8s - loss: 0.1747 - accuracy: 0.93 - ETA: 4s - loss: 0.2120 - accuracy: 0.92 - ETA: 4s - loss: 0.2342 - accuracy: 0.91 - ETA: 4s - loss: 0.2445 - accuracy: 0.91 - ETA: 4s - loss: 0.2483 - accuracy: 0.91 - ETA: 4s - loss: 0.2509 - accuracy: 0.91 - ETA: 3s - loss: 0.2532 - accuracy: 0.90 - ETA: 3s - loss: 0.2548 - accuracy: 0.90 - ETA: 3s - loss: 0.2559 - accuracy: 0.90 - ETA: 3s - loss: 0.2568 - accuracy: 0.90 - ETA: 3s - loss: 0.2574 - accuracy: 0.90 - ETA: 3s - loss: 0.2578 - accuracy: 0.90 - ETA: 3s - loss: 0.2582 - accuracy: 0.90 - ETA: 3s - loss: 0.2586 - accuracy: 0.90 - ETA: 3s - loss: 0.2587 - accuracy: 0.90 - ETA: 3s - loss: 0.2587 - accuracy: 0.90 - ETA: 3s - loss: 0.2588 - accuracy: 0.90 - ETA: 3s - loss: 0.2588 - accuracy: 0.90 - ETA: 2s - loss: 0.2589 - accuracy: 0.90 - ETA: 2s - loss: 0.2590 - accuracy: 0.90 - ETA: 2s - loss: 0.2591 - accuracy: 0.90 - ETA: 2s - loss: 0.2592 - accuracy: 0.90 - ETA: 2s - loss: 0.2593 - accuracy: 0.90 - ETA: 2s - loss: 0.2593 - accuracy: 0.90 - ETA: 2s - loss: 0.2593 - accuracy: 0.90 - ETA: 2s - loss: 0.2593 - accuracy: 0.90 - ETA: 2s - loss: 0.2594 - accuracy: 0.90 - ETA: 2s - loss: 0.2595 - accuracy: 0.90 - ETA: 2s - loss: 0.2596 - accuracy: 0.90 - ETA: 2s - loss: 0.2597 - accuracy: 0.90 - ETA: 2s - loss: 0.2599 - accuracy: 0.90 - ETA: 2s - loss: 0.2601 - accuracy: 0.90 - ETA: 2s - loss: 0.2602 - accuracy: 0.90 - ETA: 2s - loss: 0.2604 - accuracy: 0.90 - ETA: 2s - loss: 0.2605 - accuracy: 0.90 - ETA: 2s - loss: 0.2606 - accuracy: 0.90 - ETA: 2s - loss: 0.2608 - accuracy: 0.90 - ETA: 2s - loss: 0.2609 - accuracy: 0.90 - ETA: 1s - loss: 0.2610 - accuracy: 0.90 - ETA: 1s - loss: 0.2611 - accuracy: 0.90 - ETA: 1s - loss: 0.2612 - accuracy: 0.90 - ETA: 1s - loss: 0.2613 - accuracy: 0.90 - ETA: 1s - loss: 0.2614 - accuracy: 0.90 - ETA: 1s - loss: 0.2615 - accuracy: 0.90 - ETA: 1s - loss: 0.2615 - accuracy: 0.90 - ETA: 1s - loss: 0.2615 - accuracy: 0.90 - ETA: 1s - loss: 0.2616 - accuracy: 0.90 - ETA: 1s - loss: 0.2617 - accuracy: 0.90 - ETA: 1s - loss: 0.2617 - accuracy: 0.90 - ETA: 1s - loss: 0.2618 - accuracy: 0.90 - ETA: 1s - loss: 0.2619 - accuracy: 0.90 - ETA: 1s - loss: 0.2619 - accuracy: 0.90 - ETA: 1s - loss: 0.2620 - accuracy: 0.90 - ETA: 1s - loss: 0.2620 - accuracy: 0.90 - ETA: 1s - loss: 0.2621 - accuracy: 0.90 - ETA: 1s - loss: 0.2622 - accuracy: 0.90 - ETA: 1s - loss: 0.2623 - accuracy: 0.90 - ETA: 1s - loss: 0.2623 - accuracy: 0.90 - ETA: 0s - loss: 0.2624 - accuracy: 0.90 - ETA: 0s - loss: 0.2625 - accuracy: 0.90 - ETA: 0s - loss: 0.2626 - accuracy: 0.90 - ETA: 0s - loss: 0.2627 - accuracy: 0.90 - ETA: 0s - loss: 0.2628 - accuracy: 0.90 - ETA: 0s - loss: 0.2629 - accuracy: 0.90 - ETA: 0s - loss: 0.2630 - accuracy: 0.90 - ETA: 0s - loss: 0.2630 - accuracy: 0.90 - ETA: 0s - loss: 0.2631 - accuracy: 0.90 - ETA: 0s - loss: 0.2632 - accuracy: 0.90 - ETA: 0s - loss: 0.2632 - accuracy: 0.90 - ETA: 0s - loss: 0.2633 - accuracy: 0.90 - ETA: 0s - loss: 0.2633 - accuracy: 0.90 - ETA: 0s - loss: 0.2634 - accuracy: 0.90 - ETA: 0s - loss: 0.2634 - accuracy: 0.90 - ETA: 0s - loss: 0.2634 - accuracy: 0.90 - ETA: 0s - loss: 0.2635 - accuracy: 0.90 - 4s 2ms/step - loss: 0.2635 - accuracy: 0.9027 - val_loss: 0.3392 - val_accuracy: 0.8760
Epoch 7/10
1875/1875 [==============================] - ETA: 8s - loss: 0.2374 - accuracy: 0.90 - ETA: 3s - loss: 0.2432 - accuracy: 0.91 - ETA: 3s - loss: 0.2501 - accuracy: 0.91 - ETA: 3s - loss: 0.2520 - accuracy: 0.91 - ETA: 3s - loss: 0.2517 - accuracy: 0.91 - ETA: 3s - loss: 0.2506 - accuracy: 0.91 - ETA: 3s - loss: 0.2494 - accuracy: 0.91 - ETA: 3s - loss: 0.2490 - accuracy: 0.91 - ETA: 3s - loss: 0.2492 - accuracy: 0.91 - ETA: 3s - loss: 0.2493 - accuracy: 0.91 - ETA: 3s - loss: 0.2493 - accuracy: 0.91 - ETA: 3s - loss: 0.2491 - accuracy: 0.91 - ETA: 2s - loss: 0.2489 - accuracy: 0.91 - ETA: 2s - loss: 0.2488 - accuracy: 0.91 - ETA: 2s - loss: 0.2487 - accuracy: 0.91 - ETA: 2s - loss: 0.2487 - accuracy: 0.91 - ETA: 2s - loss: 0.2486 - accuracy: 0.91 - ETA: 2s - loss: 0.2485 - accuracy: 0.91 - ETA: 2s - loss: 0.2484 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2483 - accuracy: 0.91 - ETA: 2s - loss: 0.2484 - accuracy: 0.91 - ETA: 2s - loss: 0.2486 - accuracy: 0.91 - ETA: 2s - loss: 0.2487 - accuracy: 0.91 - ETA: 2s - loss: 0.2489 - accuracy: 0.91 - ETA: 2s - loss: 0.2490 - accuracy: 0.91 - ETA: 1s - loss: 0.2491 - accuracy: 0.91 - ETA: 1s - loss: 0.2491 - accuracy: 0.91 - ETA: 1s - loss: 0.2492 - accuracy: 0.91 - ETA: 1s - loss: 0.2492 - accuracy: 0.91 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2493 - accuracy: 0.90 - ETA: 1s - loss: 0.2494 - accuracy: 0.90 - ETA: 1s - loss: 0.2494 - accuracy: 0.90 - ETA: 1s - loss: 0.2494 - accuracy: 0.90 - ETA: 1s - loss: 0.2494 - accuracy: 0.90 - ETA: 1s - loss: 0.2495 - accuracy: 0.90 - ETA: 1s - loss: 0.2495 - accuracy: 0.90 - ETA: 1s - loss: 0.2495 - accuracy: 0.90 - ETA: 1s - loss: 0.2495 - accuracy: 0.90 - ETA: 0s - loss: 0.2495 - accuracy: 0.90 - ETA: 0s - loss: 0.2496 - accuracy: 0.90 - ETA: 0s - loss: 0.2496 - accuracy: 0.90 - ETA: 0s - loss: 0.2496 - accuracy: 0.90 - ETA: 0s - loss: 0.2496 - accuracy: 0.90 - ETA: 0s - loss: 0.2496 - accuracy: 0.90 - ETA: 0s - loss: 0.2497 - accuracy: 0.90 - ETA: 0s - loss: 0.2497 - accuracy: 0.90 - ETA: 0s - loss: 0.2497 - accuracy: 0.90 - ETA: 0s - loss: 0.2497 - accuracy: 0.90 - ETA: 0s - loss: 0.2497 - accuracy: 0.90 - ETA: 0s - loss: 0.2498 - accuracy: 0.90 - ETA: 0s - loss: 0.2498 - accuracy: 0.90 - ETA: 0s - loss: 0.2498 - accuracy: 0.90 - ETA: 0s - loss: 0.2499 - accuracy: 0.90 - ETA: 0s - loss: 0.2499 - accuracy: 0.90 - ETA: 0s - loss: 0.2499 - accuracy: 0.90 - ETA: 0s - loss: 0.2500 - accuracy: 0.90 - ETA: 0s - loss: 0.2500 - accuracy: 0.90 - ETA: 0s - loss: 0.2501 - accuracy: 0.90 - ETA: 0s - loss: 0.2501 - accuracy: 0.90 - 4s 2ms/step - loss: 0.2501 - accuracy: 0.9087 - val_loss: 0.3413 - val_accuracy: 0.8810
Epoch 8/10
1875/1875 [==============================] - ETA: 11s - loss: 0.1224 - accuracy: 0.937 - ETA: 5s - loss: 0.2162 - accuracy: 0.927 - ETA: 5s - loss: 0.2236 - accuracy: 0.92 - ETA: 5s - loss: 0.2277 - accuracy: 0.91 - ETA: 4s - loss: 0.2284 - accuracy: 0.91 - ETA: 4s - loss: 0.2283 - accuracy: 0.91 - ETA: 3s - loss: 0.2286 - accuracy: 0.91 - ETA: 3s - loss: 0.2295 - accuracy: 0.91 - ETA: 3s - loss: 0.2307 - accuracy: 0.91 - ETA: 3s - loss: 0.2317 - accuracy: 0.91 - ETA: 3s - loss: 0.2323 - accuracy: 0.91 - ETA: 3s - loss: 0.2324 - accuracy: 0.91 - ETA: 3s - loss: 0.2325 - accuracy: 0.91 - ETA: 3s - loss: 0.2325 - accuracy: 0.91 - ETA: 3s - loss: 0.2326 - accuracy: 0.91 - ETA: 3s - loss: 0.2326 - accuracy: 0.91 - ETA: 2s - loss: 0.2327 - accuracy: 0.91 - ETA: 2s - loss: 0.2329 - accuracy: 0.91 - ETA: 2s - loss: 0.2332 - accuracy: 0.91 - ETA: 2s - loss: 0.2335 - accuracy: 0.91 - ETA: 2s - loss: 0.2338 - accuracy: 0.91 - ETA: 2s - loss: 0.2340 - accuracy: 0.91 - ETA: 2s - loss: 0.2342 - accuracy: 0.91 - ETA: 2s - loss: 0.2343 - accuracy: 0.91 - ETA: 2s - loss: 0.2345 - accuracy: 0.91 - ETA: 2s - loss: 0.2347 - accuracy: 0.91 - ETA: 2s - loss: 0.2349 - accuracy: 0.91 - ETA: 2s - loss: 0.2351 - accuracy: 0.91 - ETA: 2s - loss: 0.2353 - accuracy: 0.91 - ETA: 2s - loss: 0.2355 - accuracy: 0.91 - ETA: 2s - loss: 0.2356 - accuracy: 0.91 - ETA: 2s - loss: 0.2357 - accuracy: 0.91 - ETA: 1s - loss: 0.2359 - accuracy: 0.91 - ETA: 1s - loss: 0.2359 - accuracy: 0.91 - ETA: 1s - loss: 0.2360 - accuracy: 0.91 - ETA: 1s - loss: 0.2361 - accuracy: 0.91 - ETA: 1s - loss: 0.2361 - accuracy: 0.91 - ETA: 1s - loss: 0.2362 - accuracy: 0.91 - ETA: 1s - loss: 0.2362 - accuracy: 0.91 - ETA: 1s - loss: 0.2362 - accuracy: 0.91 - ETA: 1s - loss: 0.2363 - accuracy: 0.91 - ETA: 1s - loss: 0.2363 - accuracy: 0.91 - ETA: 1s - loss: 0.2364 - accuracy: 0.91 - ETA: 1s - loss: 0.2364 - accuracy: 0.91 - ETA: 1s - loss: 0.2364 - accuracy: 0.91 - ETA: 1s - loss: 0.2365 - accuracy: 0.91 - ETA: 1s - loss: 0.2366 - accuracy: 0.91 - ETA: 1s - loss: 0.2366 - accuracy: 0.91 - ETA: 1s - loss: 0.2367 - accuracy: 0.91 - ETA: 1s - loss: 0.2369 - accuracy: 0.91 - ETA: 1s - loss: 0.2370 - accuracy: 0.91 - ETA: 1s - loss: 0.2371 - accuracy: 0.91 - ETA: 1s - loss: 0.2372 - accuracy: 0.91 - ETA: 1s - loss: 0.2373 - accuracy: 0.91 - ETA: 1s - loss: 0.2373 - accuracy: 0.91 - ETA: 1s - loss: 0.2374 - accuracy: 0.91 - ETA: 0s - loss: 0.2375 - accuracy: 0.91 - ETA: 0s - loss: 0.2375 - accuracy: 0.91 - ETA: 0s - loss: 0.2376 - accuracy: 0.91 - ETA: 0s - loss: 0.2377 - accuracy: 0.91 - ETA: 0s - loss: 0.2377 - accuracy: 0.91 - ETA: 0s - loss: 0.2378 - accuracy: 0.91 - ETA: 0s - loss: 0.2379 - accuracy: 0.91 - ETA: 0s - loss: 0.2380 - accuracy: 0.91 - ETA: 0s - loss: 0.2380 - accuracy: 0.91 - ETA: 0s - loss: 0.2381 - accuracy: 0.91 - ETA: 0s - loss: 0.2382 - accuracy: 0.91 - ETA: 0s - loss: 0.2382 - accuracy: 0.91 - ETA: 0s - loss: 0.2383 - accuracy: 0.91 - ETA: 0s - loss: 0.2383 - accuracy: 0.91 - ETA: 0s - loss: 0.2384 - accuracy: 0.91 - ETA: 0s - loss: 0.2384 - accuracy: 0.91 - ETA: 0s - loss: 0.2384 - accuracy: 0.91 - ETA: 0s - loss: 0.2385 - accuracy: 0.91 - ETA: 0s - loss: 0.2385 - accuracy: 0.91 - ETA: 0s - loss: 0.2385 - accuracy: 0.91 - ETA: 0s - loss: 0.2385 - accuracy: 0.91 - ETA: 0s - loss: 0.2385 - accuracy: 0.91 - ETA: 0s - loss: 0.2386 - accuracy: 0.91 - ETA: 0s - loss: 0.2386 - accuracy: 0.91 - ETA: 0s - loss: 0.2386 - accuracy: 0.91 - ETA: 0s - loss: 0.2386 - accuracy: 0.91 - 5s 2ms/step - loss: 0.2386 - accuracy: 0.9109 - val_loss: 0.3364 - val_accuracy: 0.8836
Epoch 9/10
1875/1875 [==============================] - ETA: 11s - loss: 0.3092 - accuracy: 0.843 - ETA: 4s - loss: 0.2166 - accuracy: 0.911 - ETA: 4s - loss: 0.2219 - accuracy: 0.91 - ETA: 4s - loss: 0.2247 - accuracy: 0.91 - ETA: 3s - loss: 0.2247 - accuracy: 0.91 - ETA: 3s - loss: 0.2252 - accuracy: 0.91 - ETA: 3s - loss: 0.2252 - accuracy: 0.91 - ETA: 3s - loss: 0.2254 - accuracy: 0.91 - ETA: 3s - loss: 0.2260 - accuracy: 0.91 - ETA: 3s - loss: 0.2264 - accuracy: 0.91 - ETA: 3s - loss: 0.2267 - accuracy: 0.91 - ETA: 3s - loss: 0.2268 - accuracy: 0.91 - ETA: 3s - loss: 0.2269 - accuracy: 0.91 - ETA: 3s - loss: 0.2270 - accuracy: 0.91 - ETA: 3s - loss: 0.2270 - accuracy: 0.91 - ETA: 3s - loss: 0.2271 - accuracy: 0.91 - ETA: 3s - loss: 0.2271 - accuracy: 0.91 - ETA: 3s - loss: 0.2271 - accuracy: 0.91 - ETA: 3s - loss: 0.2270 - accuracy: 0.91 - ETA: 3s - loss: 0.2268 - accuracy: 0.91 - ETA: 3s - loss: 0.2266 - accuracy: 0.91 - ETA: 3s - loss: 0.2265 - accuracy: 0.91 - ETA: 3s - loss: 0.2266 - accuracy: 0.91 - ETA: 3s - loss: 0.2267 - accuracy: 0.91 - ETA: 3s - loss: 0.2269 - accuracy: 0.91 - ETA: 2s - loss: 0.2271 - accuracy: 0.91 - ETA: 2s - loss: 0.2273 - accuracy: 0.91 - ETA: 2s - loss: 0.2275 - accuracy: 0.91 - ETA: 2s - loss: 0.2276 - accuracy: 0.91 - ETA: 2s - loss: 0.2276 - accuracy: 0.91 - ETA: 2s - loss: 0.2277 - accuracy: 0.91 - ETA: 2s - loss: 0.2278 - accuracy: 0.91 - ETA: 2s - loss: 0.2279 - accuracy: 0.91 - ETA: 2s - loss: 0.2280 - accuracy: 0.91 - ETA: 2s - loss: 0.2282 - accuracy: 0.91 - ETA: 2s - loss: 0.2283 - accuracy: 0.91 - ETA: 2s - loss: 0.2284 - accuracy: 0.91 - ETA: 2s - loss: 0.2286 - accuracy: 0.91 - ETA: 2s - loss: 0.2287 - accuracy: 0.91 - ETA: 2s - loss: 0.2288 - accuracy: 0.91 - ETA: 2s - loss: 0.2288 - accuracy: 0.91 - ETA: 2s - loss: 0.2289 - accuracy: 0.91 - ETA: 1s - loss: 0.2290 - accuracy: 0.91 - ETA: 1s - loss: 0.2291 - accuracy: 0.91 - ETA: 1s - loss: 0.2291 - accuracy: 0.91 - ETA: 1s - loss: 0.2292 - accuracy: 0.91 - ETA: 1s - loss: 0.2292 - accuracy: 0.91 - ETA: 1s - loss: 0.2292 - accuracy: 0.91 - ETA: 1s - loss: 0.2292 - accuracy: 0.91 - ETA: 1s - loss: 0.2292 - accuracy: 0.91 - ETA: 1s - loss: 0.2293 - accuracy: 0.91 - ETA: 1s - loss: 0.2293 - accuracy: 0.91 - ETA: 1s - loss: 0.2294 - accuracy: 0.91 - ETA: 1s - loss: 0.2294 - accuracy: 0.91 - ETA: 1s - loss: 0.2294 - accuracy: 0.91 - ETA: 1s - loss: 0.2294 - accuracy: 0.91 - ETA: 1s - loss: 0.2294 - accuracy: 0.91 - ETA: 1s - loss: 0.2295 - accuracy: 0.91 - ETA: 0s - loss: 0.2295 - accuracy: 0.91 - ETA: 0s - loss: 0.2295 - accuracy: 0.91 - ETA: 0s - loss: 0.2295 - accuracy: 0.91 - ETA: 0s - loss: 0.2295 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2296 - accuracy: 0.91 - ETA: 0s - loss: 0.2297 - accuracy: 0.91 - ETA: 0s - loss: 0.2297 - accuracy: 0.91 - ETA: 0s - loss: 0.2298 - accuracy: 0.91 - ETA: 0s - loss: 0.2298 - accuracy: 0.91 - ETA: 0s - loss: 0.2298 - accuracy: 0.91 - ETA: 0s - loss: 0.2299 - accuracy: 0.91 - ETA: 0s - loss: 0.2299 - accuracy: 0.91 - 4s 2ms/step - loss: 0.2299 - accuracy: 0.9138 - val_loss: 0.3266 - val_accuracy: 0.8846
Epoch 10/10
1875/1875 [==============================] - ETA: 6s - loss: 0.1648 - accuracy: 0.93 - ETA: 3s - loss: 0.1805 - accuracy: 0.93 - ETA: 3s - loss: 0.1840 - accuracy: 0.93 - ETA: 3s - loss: 0.1904 - accuracy: 0.92 - ETA: 3s - loss: 0.1970 - accuracy: 0.92 - ETA: 3s - loss: 0.2009 - accuracy: 0.92 - ETA: 3s - loss: 0.2040 - accuracy: 0.92 - ETA: 3s - loss: 0.2060 - accuracy: 0.92 - ETA: 3s - loss: 0.2075 - accuracy: 0.92 - ETA: 3s - loss: 0.2087 - accuracy: 0.92 - ETA: 3s - loss: 0.2099 - accuracy: 0.92 - ETA: 3s - loss: 0.2112 - accuracy: 0.92 - ETA: 3s - loss: 0.2121 - accuracy: 0.92 - ETA: 3s - loss: 0.2127 - accuracy: 0.92 - ETA: 3s - loss: 0.2132 - accuracy: 0.92 - ETA: 3s - loss: 0.2135 - accuracy: 0.92 - ETA: 3s - loss: 0.2138 - accuracy: 0.92 - ETA: 3s - loss: 0.2141 - accuracy: 0.92 - ETA: 3s - loss: 0.2144 - accuracy: 0.92 - ETA: 3s - loss: 0.2146 - accuracy: 0.91 - ETA: 3s - loss: 0.2148 - accuracy: 0.91 - ETA: 3s - loss: 0.2151 - accuracy: 0.91 - ETA: 3s - loss: 0.2154 - accuracy: 0.91 - ETA: 3s - loss: 0.2157 - accuracy: 0.91 - ETA: 3s - loss: 0.2159 - accuracy: 0.91 - ETA: 2s - loss: 0.2161 - accuracy: 0.91 - ETA: 2s - loss: 0.2163 - accuracy: 0.91 - ETA: 2s - loss: 0.2165 - accuracy: 0.91 - ETA: 2s - loss: 0.2167 - accuracy: 0.91 - ETA: 2s - loss: 0.2168 - accuracy: 0.91 - ETA: 2s - loss: 0.2169 - accuracy: 0.91 - ETA: 2s - loss: 0.2171 - accuracy: 0.91 - ETA: 2s - loss: 0.2172 - accuracy: 0.91 - ETA: 2s - loss: 0.2172 - accuracy: 0.91 - ETA: 2s - loss: 0.2173 - accuracy: 0.91 - ETA: 2s - loss: 0.2173 - accuracy: 0.91 - ETA: 2s - loss: 0.2174 - accuracy: 0.91 - ETA: 2s - loss: 0.2174 - accuracy: 0.91 - ETA: 2s - loss: 0.2175 - accuracy: 0.91 - ETA: 2s - loss: 0.2176 - accuracy: 0.91 - ETA: 2s - loss: 0.2176 - accuracy: 0.91 - ETA: 2s - loss: 0.2177 - accuracy: 0.91 - ETA: 2s - loss: 0.2178 - accuracy: 0.91 - ETA: 2s - loss: 0.2178 - accuracy: 0.91 - ETA: 1s - loss: 0.2179 - accuracy: 0.91 - ETA: 1s - loss: 0.2179 - accuracy: 0.91 - ETA: 1s - loss: 0.2180 - accuracy: 0.91 - ETA: 1s - loss: 0.2180 - accuracy: 0.91 - ETA: 1s - loss: 0.2181 - accuracy: 0.91 - ETA: 1s - loss: 0.2182 - accuracy: 0.91 - ETA: 1s - loss: 0.2182 - accuracy: 0.91 - ETA: 1s - loss: 0.2183 - accuracy: 0.91 - ETA: 1s - loss: 0.2184 - accuracy: 0.91 - ETA: 1s - loss: 0.2184 - accuracy: 0.91 - ETA: 1s - loss: 0.2185 - accuracy: 0.91 - ETA: 1s - loss: 0.2186 - accuracy: 0.91 - ETA: 1s - loss: 0.2186 - accuracy: 0.91 - ETA: 1s - loss: 0.2187 - accuracy: 0.91 - ETA: 1s - loss: 0.2188 - accuracy: 0.91 - ETA: 0s - loss: 0.2188 - accuracy: 0.91 - ETA: 0s - loss: 0.2189 - accuracy: 0.91 - ETA: 0s - loss: 0.2189 - accuracy: 0.91 - ETA: 0s - loss: 0.2190 - accuracy: 0.91 - ETA: 0s - loss: 0.2191 - accuracy: 0.91 - ETA: 0s - loss: 0.2191 - accuracy: 0.91 - ETA: 0s - loss: 0.2192 - accuracy: 0.91 - ETA: 0s - loss: 0.2192 - accuracy: 0.91 - ETA: 0s - loss: 0.2193 - accuracy: 0.91 - ETA: 0s - loss: 0.2194 - accuracy: 0.91 - ETA: 0s - loss: 0.2194 - accuracy: 0.91 - ETA: 0s - loss: 0.2195 - accuracy: 0.91 - ETA: 0s - loss: 0.2196 - accuracy: 0.91 - ETA: 0s - loss: 0.2196 - accuracy: 0.91 - ETA: 0s - loss: 0.2197 - accuracy: 0.91 - ETA: 0s - loss: 0.2197 - accuracy: 0.91 - ETA: 0s - loss: 0.2198 - accuracy: 0.91 - 4s 2ms/step - loss: 0.2198 - accuracy: 0.9179 - val_loss: 0.3605 - val_accuracy: 0.8808





<tensorflow.python.keras.callbacks.History at 0x7fdcd087f710>