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
DOI:	10.32614/CRAN.package.TeachNet
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 [issues need fixing before 2025-01-10]

Documentation:

Reference manual:

TeachNet.pdf

Downloads:

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

Linking:

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