deepnet: deep learning toolkit in R

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

Author
Xiao Rong
Date of publication
2014-03-20 10:03:43
Maintainer
Xiao Rong <runxiao@gmail.com>
License
GPL
Version
0.2

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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...

Files in this package

deepnet
deepnet/NAMESPACE
deepnet/R
deepnet/R/nn_train.R
deepnet/R/sigm.R
deepnet/R/nn_predict.R
deepnet/R/load_mnist.R
deepnet/R/dbn_train.R
deepnet/R/sae_train.R
deepnet/R/rbm_train.R
deepnet/R/dbn_dnn_train.R
deepnet/R/sae_dnn_train.R
deepnet/MD5
deepnet/DESCRIPTION
deepnet/man
deepnet/man/nn.train.Rd
deepnet/man/rbm.down.Rd
deepnet/man/nn.test.Rd
deepnet/man/dbn.dnn.train.Rd
deepnet/man/nn.predict.Rd
deepnet/man/rbm.up.Rd
deepnet/man/rbm.train.Rd
deepnet/man/sae.dnn.train.Rd
deepnet/man/load.mnist.Rd