PLearn 0.1
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#include <plearn_learners/generic/PLearner.h>
#include <plearn_learners/online/OnlineLearningModule.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_learners/online/RBMMatrixConnection.h>
#include <plearn/vmat/AutoVMatrix.h>
#include <plearn_learners/online/RBMMatrixTransposeConnection.h>
#include <plearn_learners/online/GradNNetLayerModule.h>
Go to the source code of this file.
Classes | |
class | PLearn::DenoisingRecurrentNet |
Model made of RBMs linked through time. More... | |
class | PLearn::DiffTemplate< ObjectType, DenoisingRecurrentNet > |
class | PLearn::TypeTraits< DenoisingRecurrentNet > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const DenoisingRecurrentNet &o) |
PStream & | PLearn::operator>> (PStream &in, DenoisingRecurrentNet &o) |
PStream & | PLearn::operator>> (PStream &in, DenoisingRecurrentNet *&o) |
PStream & | PLearn::operator<< (PStream &out, const DenoisingRecurrentNet &o) |
PStream & | PLearn::operator>> (PStream &in, PP< DenoisingRecurrentNet > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, DenoisingRecurrentNet > *opt, PLearnDiff *diffs) |
Definition in file DenoisingRecurrentNet.h.