#include <shark/Unsupervised/RBM/ConvolutionalRBM.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/Rng/GlobalRng.h>Go to the source code of this file.
Namespaces | |
| shark | |
| AbstractMultiObjectiveOptimizer. | |
Typedefs | |
| typedef ConvolutionalRBM< BinaryLayer, BinaryLayer, Rng::rng_type > | shark::ConvolutionalBinaryRBM |
| typedef GibbsOperator< ConvolutionalBinaryRBM > | shark::ConvolutionalBinaryGibbsOperator |
| typedef MarkovChain< ConvolutionalBinaryGibbsOperator > | shark::ConvolutionalBinaryGibbsChain |
| typedef TemperedMarkovChain< ConvolutionalBinaryGibbsOperator > | shark::ConvolutionalBinaryPTChain |
| typedef MultiChainApproximator< ConvolutionalBinaryGibbsChain > | shark::ConvolutionalBinaryPCD |
| typedef ContrastiveDivergence< ConvolutionalBinaryGibbsOperator > | shark::ConvolutionalBinaryCD |
| typedef SingleChainApproximator< ConvolutionalBinaryPTChain > | shark::ConvolutionalBinaryParallelTempering |