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Last Updated: September 27, 2026
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This short tutorial covers the basics of I was introduced to the field of Scientific Machine Learning over 5 years ago and This project was inspired by Andrej Karpathy's micrograd lecture, which was one of the clearest explanations of backpropagation ... MLFoundations This video introduces what In this tutorial, we will review the Automatic Differentiation engines An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`. An invited talk for PEPM 2018. Abstract & slides: github.com/conal/talk-2018-essence-of-ad/blob/master/readme.md. Presented by: Colin Carroll The Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why
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