Description Usage Arguments Author(s) Examples
Training a RBM(restricted Boltzmann Machine)
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x |
matrix of x values for examples |
hidden |
number of hidden units |
numepochs |
number of iteration for samples Default is 3. |
batchsize |
size of mini-batch. Default is 100. |
learningrate |
learning rate for gradient descent. Default is 0.8. |
learningrate_scale |
learning rate will be mutiplied by this scale after every iteration. Default is 1 . |
momentum |
momentum for gradient descent. Default is 0.5 . |
visible_type |
activation function of input unit.Only support "sigm" now |
hidden_type |
activation function of hidden unit.Only support "sigm" now |
cd |
number of iteration for Gibbs sample of CD algorithm. |
verbose |
print a string for each epoch done |
keep.data |
keep the weight for each epoch, usefull for DPE |
Xiao Rong
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