Skip to content

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

License

Notifications You must be signed in to change notification settings

mirceamironenco/BayesianRecurrentNN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bayesian Recurrent Neural Networks

This is a replication of the paper 'Bayesian Recurrent Neural Networks' by Meire Fortunato, Charles Blundell, Oriol Vinyals.

Paper: https://arxiv.org/abs/1704.02798

Status: Basic model replicated.

Requirements

Usage

$ sh download_ptb.sh
$ python bayesian_rnn.py -model medium -log_sigma1 -1.0 -log_sigma2 -7.0 -prior_pi 0.25

To-do:

  • Implement posterior sharpening.
  • Implement image captioning experiment.

Acknowledgements

Thanks to Meire Fortunato for providing the Bayes by Backprop/cell code and @alexkrk for an initial implementation.

About

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published