Math for Deep Learning

6MORE LINEAR ALGEBRA

In this chapter, we’ll continue our exploration of linear algebra concepts. Some of these concepts are only tangentially related to deep learning, but they’re the sort of math you’ll eventually encounter. Think of this chapter as assumed background knowledge.

Specifically, we’ll learn more about the properties of and operations on square matrices, introducing terms you’ll encounter in the deep learning literature. After that, I’ll introduce the ideas behind the eigenvalues and eigenvectors of a square matrix and how to find them. Next, we’ll explore vector norms and other ways of measuring distance that are often encountered ...