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

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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.

Author
Xichen Ding <rockingdingo@gmail.com>
Date of publication
2016-09-09 12:37:04
Maintainer
Xichen Ding <rockingdingo@gmail.com>
License
GPL (>= 2)
Version
1.2

View on CRAN

Man pages

AIC.softmax
Calculate AIC of Fitted Softmax Regression Model
BIC.softmax
Calculate BIC of Fitted Softmax Regression Model
convertClass2Matrix
Convert A Vector of Factors to Matrix
document
Easy Implementation to Read Multiple Documents within the...
loadURLData
Download and Unzip Web Datasets
softmax-class
Class '"softmax"'
softmaxReg
Fit Multi-Layer Softmax Regression or Classification Model
softmaxreg-internal
Internal Softmaxreg Functions
trainModel
Train softmax regression and classification model
word2vec
Pre-trained Word2vec Dataset from Corpus
wordEmbed
Embed Words to Vectors Using Pre-trained Word2vec Dictionary

Files in this package

softmaxreg
softmaxreg/tests
softmaxreg/tests/test1.R
softmaxreg/tests/test2.R
softmaxreg/NAMESPACE
softmaxreg/data
softmaxreg/data/word2vec.rda
softmaxreg/R
softmaxreg/R/loadMNIST.R
softmaxreg/R/application.R
softmaxreg/R/activateFuncUtil.R
softmaxreg/R/softmaxReg.R
softmaxreg/R/methodS3.R
softmaxreg/MD5
softmaxreg/DESCRIPTION
softmaxreg/man
softmaxreg/man/convertClass2Matrix.Rd
softmaxreg/man/loadURLData.Rd
softmaxreg/man/BIC.softmax.Rd
softmaxreg/man/AIC.softmax.Rd
softmaxreg/man/word2vec.Rd
softmaxreg/man/softmaxreg-internal.Rd
softmaxreg/man/trainModel.Rd
softmaxreg/man/wordEmbed.Rd
softmaxreg/man/softmaxReg.Rd
softmaxreg/man/softmax-class.Rd
softmaxreg/man/document.Rd