darch: Package for deep architectures and Restricted-Bolzmann-Machines

The darch package is build on the basis of the code from G. E. Hinton and R. R. Salakhutdinov (available under Matlab Code for deep belief nets : last visit: 01.08.2013). This package is for generating neural networks with many layers (deep architectures) and train them with the method introduced by the publications "A fast learning algorithm for deep belief nets" (G. E. Hinton, S. Osindero, Y. W. Teh) and "Reducing the dimensionality of data with neural networks" (G. E. Hinton, R. R. Salakhutdinov). This method includes a pre training with the contrastive divergence method publishing by G.E Hinton (2002) and a fine tuning with common known training algorithms like backpropagation or conjugate gradient.

Version: 0.9.1
Imports: futile.logger, ff, methods
Published: 2014-03-16
Author: Martin Drees
Maintainer: Martin Drees <mdrees at stud.fh-dortmund.de>
License: GPL-2
URL: http://github.com/maddin79/darch
NeedsCompilation: no
Materials: README
CRAN checks: darch results

Downloads:

Reference manual: darch.pdf
Package source: darch_0.9.1.tar.gz
Windows binaries: r-devel: darch_0.9.1.zip, r-release: darch_0.9.1.zip, r-oldrel: darch_0.9.1.zip
OS X Snow Leopard binaries: r-release: darch_0.9.1.tgz, r-oldrel: darch_0.9.1.tgz
OS X Mavericks binaries: r-release: darch_0.9.1.tgz
Old sources: darch archive