[P] The spelled-out intro to neural networks and backpropagation: building micrograd (Andrej Karpathy 2h25m lecture)

A new lecture from Andrej Karpathy on his [YouTube](https://www.youtube.com/watch?v=VMj-3S1tku0) channel: https://www.youtube.com/watch?v=VMj-3S1tku0

This is the most step-by-step spelled-out explanation of backpropagation and training of neural networks. It only assumes basic knowledge of Python and a vague recollection of calculus from high school.

According to [Karpathy](https://twitter.com/karpathy/status/1559672719414681601), "*this is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop*."

He also mentions, "*If you know Python, have a vague recollection of taking some derivatives in …

andrej karpathy backpropagation building machinelearning networks neural networks