PLearn 0.1
|
#include <plearn_learners/generic/PLearner.h>
#include "OnlineLearningModule.h"
#include "CostModule.h"
#include "NLLCostModule.h"
#include "RBMClassificationModule.h"
#include "RBMLayer.h"
#include "RBMMixedLayer.h"
#include "RBMConnection.h"
#include <plearn/misc/PTimer.h>
#include <plearn/sys/Profiler.h>
Go to the source code of this file.
Classes | |
class | PLearn::DeepBeliefNet |
Neural net, learned layer-wise in a greedy fashion. More... | |
class | PLearn::DiffTemplate< ObjectType, DeepBeliefNet > |
class | PLearn::TypeTraits< DeepBeliefNet > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const DeepBeliefNet &o) |
PStream & | PLearn::operator>> (PStream &in, DeepBeliefNet &o) |
PStream & | PLearn::operator>> (PStream &in, DeepBeliefNet *&o) |
PStream & | PLearn::operator<< (PStream &out, const DeepBeliefNet &o) |
PStream & | PLearn::operator>> (PStream &in, PP< DeepBeliefNet > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, DeepBeliefNet > *opt, PLearnDiff *diffs) |
Definition in file DeepBeliefNet.h.