GaussianBinaryRBM.h
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1/*!
2 *
3 *
4 * \brief -
5 *
6 * \author -
7 * \date -
8 *
9 *
10 * \par Copyright 1995-2017 Shark Development Team
11 *
12 * <BR><HR>
13 * This file is part of Shark.
14 * <https://shark-ml.github.io/Shark/>
15 *
16 * Shark is free software: you can redistribute it and/or modify
17 * it under the terms of the GNU Lesser General Public License as published
18 * by the Free Software Foundation, either version 3 of the License, or
19 * (at your option) any later version.
20 *
21 * Shark is distributed in the hope that it will be useful,
22 * but WITHOUT ANY WARRANTY; without even the implied warranty of
23 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
24 * GNU Lesser General Public License for more details.
25 *
26 * You should have received a copy of the GNU Lesser General Public License
27 * along with Shark. If not, see <http://www.gnu.org/licenses/>.
28 *
29 */
30#ifndef SHARK_UNSUPERVISED_RBM_GAUSSIANBINARYRBM_H
31#define SHARK_UNSUPERVISED_RBM_GAUSSIANBINARYRBM_H
32
33#include <shark/Unsupervised/RBM/RBM.h>
34#include <shark/Unsupervised/RBM/Energy.h>
35
36#include <shark/Unsupervised/RBM/Neuronlayers/BinaryLayer.h>
37#include <shark/Unsupervised/RBM/Neuronlayers/GaussianLayer.h>
38#include <shark/Unsupervised/RBM/Sampling/GibbsOperator.h>
39#include <shark/Unsupervised/RBM/Sampling/TemperedMarkovChain.h>
40#include <shark/Unsupervised/RBM/Sampling/MarkovChain.h>
41
42#include <shark/Unsupervised/RBM/GradientApproximations/ContrastiveDivergence.h>
43#include <shark/Unsupervised/RBM/GradientApproximations/MultiChainApproximator.h>
44#include <shark/Unsupervised/RBM/GradientApproximations/SingleChainApproximator.h>
45#include <shark/Core/Random.h>
46namespace shark{
47
48typedef RBM<GaussianLayer,BinaryLayer, random::rng_type> GaussianBinaryRBM;
49typedef GibbsOperator<GaussianBinaryRBM> GaussianBinaryGibbsOperator;
50typedef MarkovChain<GaussianBinaryGibbsOperator> GaussianBinaryGibbsChain;
51typedef TemperedMarkovChain<GaussianBinaryGibbsOperator> GaussianBinaryPTChain;
52
53typedef MultiChainApproximator<GaussianBinaryGibbsChain> GaussianBinaryPCD;
54typedef ContrastiveDivergence<GaussianBinaryGibbsOperator> GaussianBinaryCD;
55typedef SingleChainApproximator<GaussianBinaryPTChain> GaussianBinaryParallelTempering;
56}
57
58#endif