deepnet v0.2
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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 | |
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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 |
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[](http://www.rdocumentation.org/packages/deepnet)