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deepnet (version 0.2)
deep learning toolkit in R
Implement some deep learning architectures and neural network algorithms, including BP,RBM,DBN,Deep autoencoder and so on.
Link to current version
March 20th, 2014
Functions in deepnet (0.2)
Infer hidden units state by visible units
Generate visible vector by hidden units states
Training a Deep neural network with weights initialized by DBN
Load MNIST DataSet
Training a RBM(restricted Boltzmann Machine)
Training Neural Network
Predict new samples by Trainded NN
Training a Deep neural network with weights initialized by Stacked AutoEncoder
Test new samples by Trainded NN