## Build Your own Deep Learning Framework - A Hands-on Introduction to Automatic Differentiation - Part 2

In the previous part of this series, we learned about forward mode automatic differentiation, and we saw its limitations when we need to calculate the gradient of a function of many variables. Today, we’ll into another mode of automatic differentiation... Read more about Build Your own Deep Learning Framework - A Hands-on Introduction to Automatic Differentiation - Part 2