Skip to content

Tutorial on low rank RNNs theory and reverse engineering trained networks (with solution). Updated version, original by jmourabarbosa.

Notifications You must be signed in to change notification settings

srdjano23/lowrank_tutorial

 
 

Repository files navigation

Introduction to low-rank RNN tutorial

Two-day tutorial on low rank RNNs theory and reverse engineering trained networks.

The first tutorial is heavily based on the paper and code provided in (Mastrogiuseppe & Ostojic, 2019). For more advance concepts, please refer to that paper.

The second tutorial heavily based on the paper and code provided in (Dubreuil, Valente et al, 2022). All the code inside "low_rank_rnns" was taken from that repository.

About

Tutorial on low rank RNNs theory and reverse engineering trained networks (with solution). Updated version, original by jmourabarbosa.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 89.4%
  • Python 10.6%