[R] Yet Another Derivation of Backpropagation in Matrix Form (this time using Adjoints)

Hi [r/MachineLearning](https://www.reddit.com/r/MachineLearning/),

Over 6 years ago, I wrote a blog post on the [Derivation of Backpropagation in Matrix Form](https://sudeepraja.github.io/Neural/). My toolkit then included a basic understanding of the chain rule, linear algebra, and ***checking the dimension***. And so I set about writing that post. With some questionable usage of the chain rule, I derived the backpropagation equations. At every step, I told myself - The dimensions check out, so it must be correct. That post became the most popular blog …

backpropagation derivation machinelearning