PLearn 0.1
Classes | Namespaces | Functions
SubsamplingDBN.h File Reference
#include <plearn_learners/generic/PLearner.h>
#include <plearn_learners/online/OnlineLearningModule.h>
#include <plearn_learners/online/CostModule.h>
#include <plearn_learners/online/NLLCostModule.h>
#include <plearn_learners/online/RBMClassificationModule.h>
#include <plearn_learners/online/RBMLayer.h>
#include <plearn_learners/online/RBMMixedLayer.h>
#include <plearn_learners/online/RBMConnection.h>
#include <plearn/misc/PTimer.h>
#include <plearn/sys/Profiler.h>
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Classes

class  PLearn::SubsamplingDBN
 Neural net, learned layer-wise in a greedy fashion. More...
class  PLearn::DiffTemplate< ObjectType, SubsamplingDBN >
class  PLearn::TypeTraits< SubsamplingDBN >

Namespaces

namespace  PLearn
 

< for swap


Functions

Object * PLearn::toObjectPtr (const SubsamplingDBN &o)
PStream & PLearn::operator>> (PStream &in, SubsamplingDBN &o)
PStream & PLearn::operator>> (PStream &in, SubsamplingDBN *&o)
PStream & PLearn::operator<< (PStream &out, const SubsamplingDBN &o)
PStream & PLearn::operator>> (PStream &in, PP< SubsamplingDBN > &o)
template<class ObjectType >
int PLearn::diff (const string &refer, const string &other, const Option< ObjectType, SubsamplingDBN > *opt, PLearnDiff *diffs)

Detailed Description

Definition in file SubsamplingDBN.h.

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