#include <shark/Unsupervised/RBM/RBM.h>#include <shark/Unsupervised/RBM/Energy.h>#include <shark/Unsupervised/RBM/Neuronlayers/BinaryLayer.h>#include <shark/Unsupervised/RBM/Neuronlayers/GaussianLayer.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< GaussianLayer, BinaryLayer, random::rng_type > | shark::GaussianBinaryRBM |
| typedef GibbsOperator< GaussianBinaryRBM > | shark::GaussianBinaryGibbsOperator |
| typedef MarkovChain< GaussianBinaryGibbsOperator > | shark::GaussianBinaryGibbsChain |
| typedef TemperedMarkovChain< GaussianBinaryGibbsOperator > | shark::GaussianBinaryPTChain |
| typedef MultiChainApproximator< GaussianBinaryGibbsChain > | shark::GaussianBinaryPCD |
| typedef ContrastiveDivergence< GaussianBinaryGibbsOperator > | shark::GaussianBinaryCD |
| typedef SingleChainApproximator< GaussianBinaryPTChain > | shark::GaussianBinaryParallelTempering |