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3498/Unknown - 10ms/step - loss: 0.1356 -
3585/Unknown - 1029s 282ms/step - loss: 0.13
3586/Unknown - 1029s 282ms/step - loss: 0.1323 - accuracy: 0.
3587/1030s 282ms/step - loss: 0.1322 - accuracy: 0.
ImageGenerator를 사용하고 model을 학습 시키면 generator가 image의 개수를 알지 못해 무한이 학습을 반복한다. (28시간 학습.. )
Epoch 1/2 103/Unknown - 8s 80ms/step - loss: 0.0175 (model.fit() keeps running forever even after crossing the total number of t
I am developing autoencoder on the dataset https://www.kaggle.com/jessicali9530/celeba-dataset. import tensorflow tensorflow.__version__ Output: '2.2.0-rc3' from tensorflow.keras.preprocessing
stackoverflow.com
# Solution
model 학습 부분에 steps_per_epoch = 학습 이미지 수를 추가해주면 된다.
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