Skip to content

da462/DL_frameworks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Tutorials for deep learning frameworks (PyTorch/JAX/Tensorflow)

JAX:

  • Clean, NumPy-like API
  • Excellent support for forward derivatives and higher-order derivatives
  • Functional style, user maintains state explicitly. Avoids lots of potential bugs (especially random number generation).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published