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backprop.h

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00001 
00025 #ifndef __BACKPROPTRAINER_H__
00026 #define __BACKPROPTRAINER_H__
00027 
00028 #include "trainer.h"
00029 
00030 
00032 // ----              |                      -----           o                 //
00033 // |   )  ___   ___  |    --            --    |        ___      _    ___      //
00034 // |---   ___| |   \ | / |  ) |/\  __  |  )   |   |/\  ___| | |/ \  /   ) |/\ //
00035 // |   ) (   | |     |/  |--  |   /  \ |--    |   |   (   | | |   | |---  |   //
00036 // |___   \__|  \__/ | \ |    |   \__/ |      |   |    \__| | |   |  \__  |   //
00038 
00044 class BackpropTrainer : public Trainer {
00045   public:
00046     virtual Array<DynParameter>*    parameters  () const;
00047     virtual void                    init        (const StringMap& params);
00048     
00049   protected:
00051     virtual void                    initTrain       (ANNetwork& network) const;
00052 
00054     virtual double                  trainOnce       (ANNetwork& network, const PatternSet& set) const;
00055 
00057     virtual double                  trainPattern    (ANNetwork& network, const PatternSet& set, int p) const;
00058 
00063     virtual void                    backpropagate   (ANNetwork& network, const PatternSet& set, int p) const;
00064 
00066     virtual void                    updateWeights   (ANNetwork& network) const;
00067 
00068   protected:
00070     double  mEta;
00071 
00073     double  mMomentum;
00074 
00076     double  mDecay;
00077 
00079     bool    mBatchLearning;
00080 
00086     mutable Vector  mWeightDeltas;
00087 
00093     mutable Vector  mError;
00094 };
00095 
00096 #endif
00097 

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