Understanding Pytorch Tutorial Automatic Differentiation

Exploring Pytorch Tutorial Automatic Differentiation reveals several interesting facts. An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`.

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  • Want to learn more? Take the full course at https://learn.datacamp.com/courses/introduction-to-deep-learning-with-
  • Follow along with Unit 3 in a Lightning AI Studio, an online reproducible environment created by Sebastian Raschka, that ...
  • Deep Learning DIY by Marc Lelarge https://twitter.com/marc_lelarge - notebook: ...
  • Sebastian's books: https://sebastianraschka.com/books/ In the previous video, we learned about computation graphs and how we ...
  • Deep learning optimization hinges entirely on calculating gradients efficiently. Discover the precise mathematical mechanism, ...

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