jens
ff2086a1ff
- use Armadillo for load/save of weight and training data git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@775 b431acfa-c32f-4a4a-93f1-934dc6c82436
74 lines
1.6 KiB
C++
74 lines
1.6 KiB
C++
/*
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* To change this license header, choose License Headers in Project Properties.
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* To change this template file, choose Tools | Templates
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* and open the template in the editor.
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*/
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/*
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* File: Stack.hpp
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* Author: jens
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*
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* Created on 25. Oktober 2019, 18:26
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*/
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#ifndef STACK_HPP
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#define STACK_HPP
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#include <string>
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#include <vector>
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#include <armadillo>
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#include <jsoncpp/json/json.h>
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#include "Layer.hpp"
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class LayerConstructor
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{
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public:
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LayerConstructor() {}
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virtual ~LayerConstructor() {}
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virtual Layer* onConstruct(const std::string &name, size_t id, size_t numVisibleX, size_t numVisibleY, size_t numHidden, size_t numContext)
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{
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return nullptr;
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}
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};
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class Stack
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{
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public:
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Stack(const std::string &dir, const std::string &name);
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Stack(const Stack& orig);
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virtual ~Stack();
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void setName(const std::string &name);
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size_t numLayers();
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void addLayer(Layer *pLayer);
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void delLayer(Layer *pLayer);
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Layer* getLayer(size_t layerId) const;
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void train(Rbm::IListener* pListener);
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bool load(LayerConstructor *pLayerConstructor=nullptr);
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bool save();
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void weightsInit(double stddev);
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bool loadWeights();
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bool saveWeights();
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size_t numTraining();
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void addTraining(const arma::mat &toAdd);
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void delTraining(int index);
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size_t loadTrainingBatch(bool doNormalize=false);
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size_t saveTrainingBatch();
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arma::mat& trainingBatch();
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arma::mat trainingBatch(Layer *pLayer);
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private:
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std::string m_dir;
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std::string m_name;
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Layer *m_pLayers;
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arma::mat m_trainingBatch;
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};
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#endif /* STACK_HPP */
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