TeachNet: Fits neural networks to learn about back propagation

Can fit neural networks with up to two hidden layer and two different error functions. Also able to handle a weight decay. But just able to compute one output neuron and very slow.

Version: 0.7
Depends: methods
Published: 2014-01-06
Author: Georg Steinbuss
Maintainer: Georg Steinbuss <gspam at steinbuss.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: TeachNet results


Reference manual: TeachNet.pdf
Package source: TeachNet_0.7.tar.gz
Windows binaries: r-devel: TeachNet_0.7.zip, r-release: TeachNet_0.7.zip, r-oldrel: TeachNet_0.7.zip
OS X El Capitan binaries: r-release: TeachNet_0.7.tgz
OS X Mavericks binaries: r-oldrel: TeachNet_0.7.tgz


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