In the previous sections, we introduced some of the popular classical machine learning algorithms. In this section, we'll talk about neural networks, which is the main focus of the book.
The first example of a neural network is called the perceptron, and this was invented by Frank Rosenblatt in 1957. The perceptron is a classification algorithm that is very similar to logistic regression. Such as logistic regression, it has weights, w, and its output is a function, 
, of the dot product, 
(or of the weights and input.
The only ...
