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Last Updated: October 30, 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 MLFoundations This video introduces what This project was inspired by Andrej Karpathy's micrograd lecture, which was one of the clearest explanations of backpropagation ... 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()`. Presented by: Colin Carroll The Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why Want to understand how PyTorch calculates derivatives
Size: 3.14 MB · Format: PDF · Secure Download
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