04 PyTorch tutorial - How do computational graphs and autograd in PyTorch work

In this tutorial, we have talked about how the autograd system in PyTorch works and about its benefits. We also did a rewind of how the forward and backward pass work, and also how to calculate gradients.

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Timestamps
00:00 Introduction
00:52 Computational graph forward pass
01:54 Python forward pass
02:25 Gradient calculation
02:49 Python backward pass
03:29 Turn off gradient calculation
04:58 Gradient accumulation
07:01 Chain rule
08:17 Derivative calculation visualized
10:15 .backward() function
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