Neural Networks with R

Perceptron Neural Network Modeling – Basic Models

So far, we have seen the basics of neural networks and how the learning portion works. In this chapter, we take a look at one of the basic and simple forms of neural network architecture, the perceptron.

A perceptron is defined as a basic building block of a neural network. In machine learning, a perceptron is an algorithm for supervised learning of binary classifiers. They classify an output as binary: TRUE/FALSE or 1/0.

This chapter helps understand the following topics:

• Explanation of the perceptron
• Linear separable classifier
• Simple perceptron implementation function
• Multi-Layer Perceptrons (MLPs)

By the end of the chapter, we will understand the basic concepts of perceptrons and how ...