Package: autoencoder
Type: Package
Title: An implementation of sparse autoencoder for automatic learning
        of representative features from unlabeled data.
Version: 1.0
Date: 2014-03-05
Author: Eugene Dubossarsky (project leader, chief designer), Yuriy Tyshetskiy (design, implementation, testing)
Maintainer: Yuriy Tyshetskiy <y.tyshetskiy@usask.ca>
Description: The package implements the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks. 
License: GPL-2
Packaged: 2014-05-21 11:41:29 UTC; Youph
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-21 15:47:50
Built: R 3.1.0; ; 2014-05-22 10:49:53 UTC; unix
