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项目作者： alemme

项目描述 ：
Non Negative Sparse AutoEncoder (NNSAE). An efficient online learning scheme for non-negative and sparse coding in autoencoder neural networks.
高级语言：
项目地址: git://github.com/alemme/NNSAE.git
创建时间： 2016-12-27T11:35:44Z
项目社区：https://github.com/alemme/NNSAE
开源协议：
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Overview

  1.      Copyright (c) 2012 F. R. Reinhart, CoR-Lab
  2.      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:

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

Please send your feedbacks or questions to:

  1. felix.reinhart_at_gmail.com
  2. alemme01_at_t-online.de