# Backpropagation The core algorithm used to train [[Neural Networks]] (also, autodiff). ## Links A few links about [[Backpropagation]], and how it is not just the [[Chain rule (Calculus)]]: - [Yet another backpropagation tutorial – Windows On Theory](https://windowsontheory.org/2020/11/03/yet-another-backpropagation-tutorial/) - [Backprop is not just the chain rule — Graduate Descent](https://timvieira.github.io/blog/post/2017/08/18/backprop-is-not-just-the-chain-rule/) - [Backpropagation is not just the chain rule – Optimization in Machine Learning](https://wordpress.cs.vt.edu/optml/2018/04/28/backpropagation-is-not-just-the-chain-rule/)o - [Backpropagation ≠ Chain Rule – Theory Dish](https://theorydish.blog/2021/12/16/backpropagation-%E2%89%A0-chain-rule/comment-page-1/) ## Logs [[2022-08-26]] - Created