What is the purpose of the Sequential model in Keras?

The Sequential model in Keras is a simple way to build deep learning models. It is a linear stack of layers, where different deep learning layers are stacked one after the other in order to construct a neural network model. The Sequential model is suitable for simple linear stacking structures, such as fully connected neural networks or convolutional neural networks. With the Sequential model, one can quickly and easily build deep learning models, as well as train and make predictions.