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Introduction
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Machine Learning with PLearn How
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Machine Learning with PLearn How
Contents
1
. A Var-based PLearner: NNet
2
. Boltzmann Machines and Deep Belief Networks
2
.
1
Architecture
2
.
1
.
1
Restricted Boltzmann Machines
2
.
1
.
2
Deep Belief Networks
2
.
2
Code Components
2
.
2
.
1
RBMLayer
2
.
2
.
2
RBMParameters
2
.
3
Code Samples
2
.
3
.
1
Propagation in an RBM
2
.
3
.
2
Step of Contrastive Divergence in an RBM
2
.
3
.
3
Learning in a DBN
2
.
4
The
DeepBeliefNet
Class
