deepnet: deep learning toolkit in R
Version 0.2

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

Browse man pages Browse package API and functions Browse package files

AuthorXiao Rong
Date of publication2014-03-20 10:03:43
MaintainerXiao Rong <runxiao@gmail.com>
LicenseGPL
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("deepnet")

Man pages

dbn.dnn.train: Training a Deep neural network with weights initialized by...
load.mnist: Load MNIST DataSet
nn.predict: Predict new samples by Trainded NN
nn.test: Test new samples by Trainded NN
nn.train: Training Neural Network
rbm.down: Generate visible vector by hidden units states
rbm.train: Training a RBM(restricted Boltzmann Machine)
rbm.up: Infer hidden units state by visible units
sae.dnn.train: Training a Deep neural network with weights initialized by...

Functions

binary.state Source code
dbn.dnn.train Man page Source code
dbn.down Source code
dbn.train Source code
do.rbm.train Source code
dropout.mask Source code
load.mnist Man page Source code
nn.bp Source code
nn.ff Source code
nn.predict Man page Source code
nn.test Man page Source code
nn.train Man page Source code
rbm.down Man page Source code
rbm.train Man page Source code
rbm.up Man page Source code
sae.dnn.train Man page Source code
sae.train Source code
show.digit Source code
sigm Source code

Files

NAMESPACE
R
R/nn_train.R
R/sigm.R
R/nn_predict.R
R/load_mnist.R
R/dbn_train.R
R/sae_train.R
R/rbm_train.R
R/dbn_dnn_train.R
R/sae_dnn_train.R
MD5
DESCRIPTION
man
man/nn.train.Rd
man/rbm.down.Rd
man/nn.test.Rd
man/dbn.dnn.train.Rd
man/nn.predict.Rd
man/rbm.up.Rd
man/rbm.train.Rd
man/sae.dnn.train.Rd
man/load.mnist.Rd
deepnet documentation built on May 19, 2017, 10:25 p.m.