Exploring Automatic Differentiation Engine From Scratch

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I was introduced to the field of Scientific Machine Learning over 5 years ago and This short tutorial covers the basics of Episode 1 of building a neural network from An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`.

A hopefully somewhat simple explanation of how plugging x + ε into a function results in

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