PLearn 0.1
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#include <plearn/base/Object.h>
#include <plearn/math/TMat_maths.h>
#include <plearn_learners/online/OnlineLearningModule.h>
Go to the source code of this file.
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) |
Definition in file NnlmOutputLayer.h.