Implementation of 'softmax' regression and classification models with multiple layer neural network. It can be used for many tasks like word embedding based document classification, 'MNIST' dataset handwritten digit recognition and so on. Multiple optimization algorithm including 'SGD', 'Adagrad', 'RMSprop', 'Moment', 'NAG', etc are also provided.
| Version: | 1.2 |
| Depends: | R (≥ 2.10) |
| Imports: | methods |
| Published: | 2016-09-09 |
| Author: | Xichen Ding |
| Maintainer: | Xichen Ding <rockingdingo at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | softmaxreg results |
| Reference manual: | softmaxreg.pdf |
| Package source: | softmaxreg_1.2.tar.gz |
| Windows binaries: | r-devel: softmaxreg_1.2.zip, r-release: softmaxreg_1.2.zip, r-oldrel: softmaxreg_1.2.zip |
| macOS binaries: | r-release: softmaxreg_1.2.tgz, r-oldrel: softmaxreg_1.2.tgz |
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