In this chapter, we will talk about classification and regression using neural networks. We will start this chapter by discussing the perceptron, which is an online classifier that also serves as a building block for neural networks. We will also discuss the idea behind neural networks, including the different types of perceptrons, and what a multilayer perceptron (MLP) is. We will also learn how to train a neural network for various purposes.
The following topics will be covered in this chapter:
- An introduction to perceptrons
- Neural networks
- Using MLPs for classification
- Neural networks for regression
