Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
src
 
 
 
 
 
 
 
 
 
 
 
 

BinaryCommitteeMachineFBP.jl

Documentation Build Status

This package implements the Focusing Belief Propagation algorithm for committee machines with binary weights described in the paper Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes by Carlo Baldassi, Christian Borgs, Jennifer Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti and Riccardo Zecchina, Proc. Natl. Acad. Sci. U.S.A. 113: E7655-E7662 (2016), doi:10.1073/pnas.1608103113.

The code is written in Julia. It was last tested with Julia version 1.4.

Installation

To install the module, switch to pkg mode with the ] key and use this command:

pkg> add https://github.com/carlobaldassi/BinaryCommitteeMachineFBP.jl

Dependencies will be installed automatically.

Documentation

About

Focusing Belief Propagation on Commitee machines with binary weights

Topics

Resources

License

Releases

No releases published

Packages

No packages published

Languages