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PLearn 0.1
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#include <plearn_learners/distributions/PDistribution.h>#include "RBMMixedLayer.h"#include "RBMMultinomialLayer.h"#include "RBMQLParameters.h"

Go to the source code of this file.
Classes | |
| class | PLearn::GaussianDBNClassification |
| Does the same thing as Hinton's deep belief nets. More... | |
| class | PLearn::DiffTemplate< ObjectType, GaussianDBNClassification > |
| class | PLearn::TypeTraits< GaussianDBNClassification > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const GaussianDBNClassification &o) |
| PStream & | PLearn::operator>> (PStream &in, GaussianDBNClassification &o) |
| PStream & | PLearn::operator>> (PStream &in, GaussianDBNClassification *&o) |
| PStream & | PLearn::operator<< (PStream &out, const GaussianDBNClassification &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< GaussianDBNClassification > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, GaussianDBNClassification > *opt, PLearnDiff *diffs) |
Definition in file GaussianDBNClassification.h.
1.7.4