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 iclr-blogposts.github.io
How to compute Hessian-vector products? | ICLR Blogposts 2024
| | bytepawn.com
Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
3.9 parsecs away

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| | I will show how to solve the standard A x = b matrix equation with PyTorch. This is a good toy problem to show some guts of the framework without involving neural networks.
| | liorsinai.github.io
MicroGrad.jl: Part 1 ChainRules - Lior Sinai
2.9 parsecs away

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| | A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules.
| | jingnanshi.com
Automatic Differentiation: Forward and Reverse
2.7 parsecs away

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| | Tutorial on automatic differentiation
| | johnwilker.com
Galactic Instability Cover! -
9.0 parsecs away

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| Say hello to book 2 in the Rogue Enterprises series! If you haven't pre-ordered, you totally should. You can even get 50% off if you pre-order on my site. Technically everything on my site is 50% off right now.... just sayin'