Programming Neural Networks with Python

3    A Simple Neural Network

In this chapter, we take our first step by introducing the perceptron, a fundamental type of neural network designed for binary classification. We will explore how it processes inputs, applies weights, and utilizes an activation function to distinguish between two categories based on learned patterns.

This chapter describes the simplest form of neural networks, the perceptrons, which are also referred to as linear classifiers. We’ll work out step-by-step how the perceptrons work using images and codes, as well as simple examples to explain the subject matter. At the end of the chapter, you’ll teach a moving robot to recognize holes or avoid driving into the wall.

3.1    Background

Imagine you no longer have to plan ...