#include <shark/Unsupervised/RBM/RBM.h>#include <shark/Unsupervised/RBM/Energy.h>#include <shark/Unsupervised/RBM/Neuronlayers/BinaryLayer.h>#include <shark/Unsupervised/RBM/Sampling/GibbsOperator.h>#include <shark/Unsupervised/RBM/Sampling/TemperedMarkovChain.h>#include <shark/Unsupervised/RBM/Sampling/MarkovChain.h>#include <shark/Unsupervised/RBM/GradientApproximations/ContrastiveDivergence.h>#include <shark/Unsupervised/RBM/GradientApproximations/MultiChainApproximator.h>#include <shark/Unsupervised/RBM/GradientApproximations/SingleChainApproximator.h>#include <shark/Core/Random.h>Go to the source code of this file.
Namespaces | |
| shark | |
| AbstractMultiObjectiveOptimizer. | |
Typedefs | |
| typedef RBM< BinaryLayer, BinaryLayer, random::rng_type > | shark::BinaryRBM |
| typedef GibbsOperator< BinaryRBM > | shark::BinaryGibbsOperator |
| typedef MarkovChain< BinaryGibbsOperator > | shark::BinaryGibbsChain |
| typedef TemperedMarkovChain< BinaryGibbsOperator > | shark::BinaryPTChain |
| typedef MultiChainApproximator< BinaryGibbsChain > | shark::BinaryPCD |
| typedef ContrastiveDivergence< BinaryGibbsOperator > | shark::BinaryCD |
| typedef SingleChainApproximator< BinaryPTChain > | shark::BinaryParallelTempering |