Skip to content

This is the ready-to-use code for the paper 'Quaternion Recurrent Neural Networks'.

License

Notifications You must be signed in to change notification settings

agangzz/Quaternion-Recurrent-Neural-Networks

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Quaternion RNN

This example trains both a Quaternion-valued RNN and a Real-valued RNN on a simple copy-task, and generates the corresponding plots. By default, the experiments follow the experimental protocol described in the paper : Quaternion Recurrent Neural Networks.

Requirements

A GPU with a running CUDA installation is required.

pip install torch torchvision matplotlib      

Usage

python copy_task.py        

About

This is the ready-to-use code for the paper 'Quaternion Recurrent Neural Networks'.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%