/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

 iclr-blogposts.github.io
How to compute Hessian-vector products? | ICLR Blogposts 2024
| | liorsinai.github.io
MicroGrad.jl: Part 1 ChainRules - Lior Sinai
2.9 parsecs away

Travel
| | A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules.
| | cgad.ski
Where is Noether's Principle in Machine Learning?
4.0 parsecs away

Travel
| |
| | bytepawn.com
Bytepawn - Marton Trencseni - PyTorch Basics: Solving the Ax=b matrix equation with gradient descent
3.9 parsecs away

Travel
| | 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.
| | www.ethanepperly.com
Vandermonde Matrices are Merely Exponentially Ill-Conditioned - Ethan N. Epperly
22.0 parsecs away

Travel
|