Backpropagation In Depth 

In this video, we'll take a deep dive into backpropagation to understand how data flows in a neural network. We'll learn how to break functions into operations, then use those operations to build a computational graph. At the end, we'll build a miniature PyTorch to implement a neural network.
Follow along with the code and written explanations here - github.com/VikParuchuri/zero_... .
Chapters:
00:00 Introduction
6:19 Staged softmax forward pass
9:24 Staged softmax backward pass
23:19 Analytic softmax
29:30 Softmax computational graph
42:26 Neural network computational graph
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