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Add tutorial: Visualizing the Mathematics Behind Neural Network Training#3908

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Add tutorial: Visualizing the Mathematics Behind Neural Network Training#3908
AddyM wants to merge 1 commit into
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AddyM:add-math-behind-training-tutorial

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@AddyM AddyM commented May 22, 2026

Fixes #3907

Adds a beginner tutorial that traces the mathematics inside a PyTorch
training loop — connecting linear algebra to nn.Linear, the chain rule
to autograd.backward(), and gradient descent to optimizer.step().

Each concept is verified with runnable code (torch.allclose) so learners
can see the math, not just read about it.

Runs on CPU only. No external dependencies beyond torch.

Based on "The Math Behind the Magic" presented at Grace Hopper
Celebration 2025.

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pytorch-bot Bot commented May 22, 2026

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3908

Note: Links to docs will display an error until the docs builds have been completed.

This comment was automatically generated by Dr. CI and updates every 15 minutes.

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meta-cla Bot commented May 22, 2026

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💡 [REQUEST] - Tutorial: Visualizing the Mathematics Behind Neural Network Training

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