deepnet v0.2

0

Monthly downloads

0th

Percentile

deep learning toolkit in R

Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.

Functions in deepnet

Name Description
rbm.up Infer hidden units state by visible units
rbm.down Generate visible vector by hidden units states
dbn.dnn.train Training a Deep neural network with weights initialized by DBN
load.mnist Load MNIST DataSet
rbm.train Training a RBM(restricted Boltzmann Machine)
nn.train Training Neural Network
nn.predict Predict new samples by Trainded NN
sae.dnn.train Training a Deep neural network with weights initialized by Stacked AutoEncoder
nn.test Test new samples by Trainded NN
No Results!

Last month downloads

Details

Type Package
Date 2014-03-20
License GPL
Packaged 2014-03-20 08:06:35 UTC; xiaorong.xr
NeedsCompilation no
Repository CRAN
Date/Publication 2014-03-20 10:03:43
Contributors Xiao Rong

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/deepnet)](http://www.rdocumentation.org/packages/deepnet)