This one is a bit more symbol-heavy, and that’s actually the point. The goal here is to represent in somewhat more formal terms the intuition for how backpropagation works in part 3 of the series, hopefully providing some connection between that video and other texts/code that you come across later.
For more on backpropagation:
http://neuralnetworksanddeeplearning….
https://github.com/mnielsen/neural-ne…
http://colah.github.io/posts/2015-08-…
https://colah.github.io/posts/2015-08-Backprop
