Differentiable Programming Part 1 Reverse Mode Ad Implementation

Summary

Derivatives are at the heart of scientific Behind Every Great Deep Learning Framework Is An Even Greater According to Max Haughton, the calculation of gradients is a way to understand the universe. For the entire history of computing, ... Ever wanted to know how automatic differentiation (the general case of backpropagation for training neural networks in deep ... Enzyme is a new LLVM-based differentiation framework capable of creating fast derivatives in a variety of languages. In this talk ... This short tutorial covers the basics of automatic differentiation, a set of techniques that allow us to efficiently compute derivatives ... In the final video of this lecture, we look at how to make the computer maintain a computation graph for us, so that all we have to ...