optimizer = tf.keras.optimizers.Adam(epsilon=0.01) model.compile( optimizer=optimizer, loss='binary_crossentropy', metrics=['binary_accuracy'], ) history = model.fit( ds_train, validation_data=ds_valid, epochs=50, ) # Plot learning curves import pandas as pd history_frame = pd.DataFrame(history.history) history_frame.loc[:, ['loss', 'val_loss']].plot() history_frame.loc[:, ['binary_accuracy', 'val_binary_accuracy']].plot();
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