Hands-On Mathematics for Deep Learning

Summary

In this chapter, we learned about various forms of regression, such as (multiple) linear regression, polynomial regression, logistic regression, and softmax regression. Each of these models has aided us in figuring out the relationship that exists between one or more independent variable(s) and a dependent variable. For some of you, these concepts may seem very rudimentary, but they will serve us well on our journey throughout this book and in gaining a deeper understanding of the concepts to come.

In the next chapter, we will learn about feedforward neural networks.