| 
    PLearn 0.1 
   | 
 
#include <plearn_learners/generic/PLearner.h>#include <plearn/vmat/AppendNeighborsVMatrix.h>#include <plearn/opt/Optimizer.h>#include <plearn/var/VarArray.h>

Go to the source code of this file.
Classes | |
| class | PLearn::DeepFeatureExtractorNNet | 
| Deep Neural Network that extracts features in a greedy, mostly unsupervised way.  More... | |
| class | PLearn::DiffTemplate< ObjectType, DeepFeatureExtractorNNet > | 
| class | PLearn::TypeTraits< DeepFeatureExtractorNNet > | 
Namespaces | |
| namespace | PLearn | 
< for swap  | |
Functions | |
| Object * | PLearn::toObjectPtr (const DeepFeatureExtractorNNet &o) | 
| PStream & | PLearn::operator>> (PStream &in, DeepFeatureExtractorNNet &o) | 
| PStream & | PLearn::operator>> (PStream &in, DeepFeatureExtractorNNet *&o) | 
| PStream & | PLearn::operator<< (PStream &out, const DeepFeatureExtractorNNet &o) | 
| PStream & | PLearn::operator>> (PStream &in, PP< DeepFeatureExtractorNNet > &o) | 
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, DeepFeatureExtractorNNet > *opt, PLearnDiff *diffs) | 
Definition in file DeepFeatureExtractorNNet.h.
 1.7.4