On Keras, deep learning models are developed using neural networks. The inputs are fed to a neural network which is subsequently processed in the hidden layers through weights adapted during training. Subsequently, the model presents a prediction. The user need not mention what patterns to discover; the neural network learns automatically. The sequential method is the simplest way to develop a model in Keras.