Deep Learning, Sentiment Analysis, Machine Learning, Editors Pick, Hands On Tutorials.
Adam as optimization function model.compile(loss=tf.keras.losses.BinaryCrossentropy(from_logits=True), optimizer=tf.keras.optimizers.Adam(1e-2), metrics=['accuracy']) # Fitting the model history = model.fit(train_dataset, epochs=10, validation_data=test_dataset, validation_steps=10) # Model