to transform from hidden(output) variables to visible(input) variables
calculate the linear mapping matrix between the input data and the output data
pre-training the Deep Belief Nets(DBN) model by Contrastive Divergence Learning
pre-training the restricted boltzmann machine(RBM) model by Contrastive Divergence Learning
get randomized Deep Belief Nets(DBN) model
get randomized Restricted Boltzmann Machine(RBM) model
training the Deep Belief Nets(DBN) model by back projection algorithm
to transform from visible(input) variables to hidden(output) variables
to transform from visible(input) variable to all hidden(output) variables
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