Neural Network Projects with Python

Model architecture

In the previous chapter, Chapter 2, Predicting Diabetes with Multilayer Perceptrons, we used a relatively simple MLP as our neural network. For this project, since there are more features, we shall use a deeper model to account for the additional complexity. The deep feedforward network will have four hidden layers. The first hidden layer will have 128 nodes, with each successive hidden layer having half the nodes of its predecessor. This neural network size is a good starting point for us and it should not take too long to train this neural network. A general rule of thumb is that we should start with a small neural network and only increase its complexity (size) as required.

In between each hidden layer, we will use the ...