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the model model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) # Train the model model.fit(X_train, y_train, epochs=10) # Evaluate the model on the test set test_loss, test_acc = model.evaluate(X_test, y_test) print('Test accuracy:', test_acc) 11. Deep