#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 |