Skip to content

sjr113/pdnn

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Proportional-Derivative Neural Networks

This is the code for our paper, Temporally Efficient Deep Learning with Spikes.

To install (on OSX, Linux) go:

git clone https://github.com/petered/pdnn.git
cd pdnn
source setup.sh

After setup is complete, you should be able to run:

python pdnn/figures.py

To generate any of the figures from our paper.

If you have any questions about this code, feel free to contact Peter at peter.ed.oconnor@gmail.com

This repo has been auto-generated by the Public Release Package

About

Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.9%
  • Shell 0.1%