PLearn 0.1
Classes | Namespaces | Functions
NnlmOutputLayer.h File Reference
#include <plearn/base/Object.h>
#include <plearn/math/TMat_maths.h>
#include <plearn_learners/online/OnlineLearningModule.h>
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Classes

class  PLearn::NnlmOutputLayer
 Implements a gaussian-based output layer for the Neural Network Language Model. More...
class  PLearn::DiffTemplate< ObjectType, NnlmOutputLayer >
class  PLearn::TypeTraits< NnlmOutputLayer >

Namespaces

namespace  PLearn
 

< for swap


Functions

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

Detailed Description

Definition in file NnlmOutputLayer.h.

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