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 | |
| No Results! | ||
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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)