Skip to content

iclr2022-2798/bit-wise-training

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bit-wise Training of Neural Network Weights

Repository for ICLR2022 submission 2798: https://openreview.net/forum?id=gxk4-rVATDA

First working version. Updates will follow.

Trainer.py runs the main code. It trains LeNet on MNIST (also ResNet20 and Conv6) with bit-depth 6. Trainable bits are the first 3 most significant one. The following are untrainable.

About

Repository for ICLR2022 submission 2798

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages