Skip to content

Non-Negative sparse auto encoder written in numpy python

Notifications You must be signed in to change notification settings

alemme/py-nnsae

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Overview

     Copyright (c) 2012 F. R. Reinhart, CoR-Lab
     University Bielefeld, Germany, http://cor-lab.de

The program is free for non-commercial and academic use. Please contact the author if you are interested in using the software for commercial purposes. The software must not be modified or distributed without prior permission of the authors. Please acknowledge the authors in any academic publications that have made use of this code or part of it. Please use this BibTex for reference:

A. Lemme, R. F. Reinhart and J. J. Steil. 
"Online learning and generalization of parts-based image representations 
 by Non-Negative Sparse Autoencoders". Neural Networks, vol. 33, pp. 194-203, 2012
 doi = "https://doi.org/10.1016/j.neunet.2012.05.003"
                          OR
A. Lemme, R. F. Reinhart and J. J. Steil. "Efficient online learning of
a non-negative sparse autoencoder". In Proc. ESANN, 2010.

Please send your feedbacks or questions to: felix.reinhart_at_gmail.com alemme01_at_t-online.de

START

Execute the barsExampleNNSAE.py script. Have fun!

another implementation in python can be found in the opencog package here

About

Non-Negative sparse auto encoder written in numpy python

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages