Summary

In this chapter, we introduced the powerful machine learning algorithms of artificial neural networks. We saw how these networks are a simplified model of neurons in the brain. They can perform complex learning tasks, such as learning highly nonlinear decision boundaries, using layers of artificial neurons, or units, to learn new features from labelled data. In the next chapter, we will look at the crucial component of any machine learning algorithm, that is, its features.