TeachNet: Fits Neural Networks to Learn About Backpropagation

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: 0.7.1
Depends: methods
Published: 2018-11-27
Author: Georg Steinbuss
Maintainer: Georg Steinbuss <gspam at steinbuss.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: TeachNet results


Reference manual: TeachNet.pdf


Package source: TeachNet_0.7.1.tar.gz
Windows binaries: r-devel: TeachNet_0.7.1.zip, r-release: TeachNet_0.7.1.zip, r-oldrel: TeachNet_0.7.1.zip
macOS binaries: r-release (arm64): TeachNet_0.7.1.tgz, r-oldrel (arm64): TeachNet_0.7.1.tgz, r-release (x86_64): TeachNet_0.7.1.tgz, r-oldrel (x86_64): TeachNet_0.7.1.tgz
Old sources: TeachNet archive


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