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tensorflow - Validation accuracy not changing while loss is decreasing in keras image classification?


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in model.compile your loss is incorrect. It should be

loss='BinaryCrossentropy'

In your model the last layer should be

tf.keras.layers.Dense(1,activation='sigmoid')

Alternatively you can keep everything as is but change class_mode in the train_data_gen and val_data_gen to

class_mode='sparse' 

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