Package: autoencoder
Type: Package
Title: Sparse Autoencoder for Automatic Learning of Representative
        Features from Unlabeled Data
Version: 1.1
Date: 2015-06-30
Author: Eugene Dubossarsky (project leader, chief designer), Yuriy Tyshetskiy (design, implementation, testing)
Maintainer: Yuriy Tyshetskiy <yuriy.tyshetskiy@nicta.com.au>
Description: Implementation of 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
NeedsCompilation: no
Packaged: 2015-07-02 05:28:56 UTC; ytyshetskiy
Repository: CRAN
Date/Publication: 2015-07-02 09:09:12
Built: R 3.4.0; ; 2017-04-22 00:25:45 UTC; unix
