Neural Network Projects with Python

Hidden layers

The next layer after the input layer is known as a hidden layer. As we have seen in Chapter 1, Machine Learning and Neural Networks 101, the hidden layer takes the input layer and applies a non-linear activation function to it. Mathematically, we can represent the function of the hidden layer as follows:

refers to the input passed from the previous layer, refers to the non-linear activation function, are the weights, and refers ...