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deepnet (version 0.2)

deep learning toolkit in R

Description

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

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Version

Install

install.packages('deepnet')

Monthly Downloads

1,336

Version

0.2

License

GPL

Maintainer

Xiao Rong

Last Published

March 20th, 2014

Functions in deepnet (0.2)

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