Section 1: Essential Mathematics for Deep Learning

In this section, you will learn how to use the core mathematical and modern computational techniques that are used to design and implement deep learning algorithms.

This section is comprised of the following chapters:

• Chapter 1, Linear Algebra
• Chapter 2, Vector Calculus
• Chapter 3, Probability and Statistics
• Chapter 4, Optimization
• Chapter 5, Graph Theory