softmaxreg: Training Multi-Layer Neural Network for Softmax Regression and Classification

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

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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
OS X El Capitan binaries: r-release: softmaxreg_1.2.tgz
OS X Mavericks binaries: r-oldrel: softmaxreg_1.2.tgz

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