Building an MLP in Keras

Keras uses an instance of a model object to contain a neural network. For those of you familiar with scikit-learn, this is probably quite familiar. What is somewhat different is that Keras models contain a set of layers. This set of layers needs to be defined by us. This allows for amazing flexibility in network architecture, with very little code.

Our MLP will need an input layer, a hidden layer, and an output layer.