Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
activation='softmax') ]) model_non_dp.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) # Train the model history_non_dp = model_non_dp.fit(train_data, train_labels, epochs=5, batch_size=32, validation_data=(test_data, test_labels)) # Evaluate model accuracy _,