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PLearn 0.1
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#include <plearn/vmat/ClassSubsetVMatrix.h>#include <plearn_learners/generic/PLearner.h>#include <plearn_learners/online/GradNNetLayerModule.h>#include <plearn_learners/online/OnlineLearningModule.h>#include <plearn_learners/online/CostModule.h>#include <plearn_learners/online/ModuleStackModule.h>#include <plearn_learners/online/NLLCostModule.h>#include <plearn_learners/online/ClassErrorCostModule.h>#include <plearn_learners/online/CombiningCostsModule.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/SoftmaxModule.h>#include <plearn/misc/PTimer.h>

Go to the source code of this file.
Classes | |
| class | PLearn::StackedFocusedAutoassociatorsNet |
| Neural net, trained layer-wise in a greedy but focused fashion using autoassociators/RBMs and a supervised non-parametric gradient. More... | |
| class | PLearn::DiffTemplate< ObjectType, StackedFocusedAutoassociatorsNet > |
| class | PLearn::TypeTraits< StackedFocusedAutoassociatorsNet > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const StackedFocusedAutoassociatorsNet &o) |
| PStream & | PLearn::operator>> (PStream &in, StackedFocusedAutoassociatorsNet &o) |
| PStream & | PLearn::operator>> (PStream &in, StackedFocusedAutoassociatorsNet *&o) |
| PStream & | PLearn::operator<< (PStream &out, const StackedFocusedAutoassociatorsNet &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< StackedFocusedAutoassociatorsNet > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, StackedFocusedAutoassociatorsNet > *opt, PLearnDiff *diffs) |
Definition in file StackedFocusedAutoassociatorsNet.h.
1.7.4