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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
Version
0.2.1
0.2
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)
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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