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Last Updated: October 24, 2026
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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 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 An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`. Want to understand how PyTorch calculates derivatives Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why Lecture 5 of the online course Deep Learning Systems: Algorithms and Implementation. This lecture provides a code review of ... An invited talk for PEPM 2018. Abstract & slides: github.com/conal/talk-2018-essence-of-ad/blob/master/readme.md.
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