PLearn 0.1
|
#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.