Created
September 2, 2020 10:39
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es = EarlyStopping(monitor='val_loss', mode='min', verbose=1) | |
history = model.fit([encoder_input_sequences, decoder_input_sequences], decoder_targets_one_hot, | |
batch_size=BATCH_SIZE, | |
epochs=20, | |
callbacks=[es], | |
validation_split=0.1, | |
) |
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