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PLearn 0.1
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#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>

Go to the source code of this file.
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) |
Definition in file SubsamplingDBN.h.
1.7.4