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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 |
| 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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