L6.3 Automatic Differentiation in PyTorch -- Code Example
Sebastian's books: https://sebastianraschka.com/books/
In the previous video, we learned about computation graphs and how we can use them to compute partial derivatives and gradients conveniently. This video is the practical companion to the previous video, which explained the broader concepts. Now, we will see how this concepts come together in practice in PyTorch.
Slides: https://sebastianraschka.com/pdf/lect...
Code: https://github.com/rasbt/stat453-deep...
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This video is part of my Introduction of Deep Learning course.
Next video: • L6.4 Training ADALINE with PyTorch --...
The complete playlist: • Intro to Deep Learning and Generative...
A handy overview page with links to the materials: https://sebastianraschka.com/blog/202...
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