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diff --git a/src/CuTNetLib/.svn/text-base/cuRbmSparse.h.svn-base b/src/CuTNetLib/.svn/text-base/cuRbmSparse.h.svn-base
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+#ifndef _CU_RBM_SPARSE_H_
+#define _CU_RBM_SPARSE_H_
+
+
+#include "cuComponent.h"
+#include "cumatrix.h"
+#include "cuRbm.h"
+
+
+#include "Matrix.h"
+#include "Vector.h"
+
+
+namespace TNet {
+
+  class CuRbmSparse : public CuRbmBase
+  {
+    public:
+
+      CuRbmSparse(size_t nInputs, size_t nOutputs, CuComponent *pPred); 
+      ~CuRbmSparse();  
+      
+      ComponentType GetType() const;
+      const char* GetName() const;
+
+      //CuUpdatableComponent API
+      void PropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
+      void BackpropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
+
+      void Update();
+
+      //RBM training API
+      void Propagate(const CuMatrix<BaseFloat>& visProbs, CuMatrix<BaseFloat>& hidProbs);
+      void Reconstruct(const CuMatrix<BaseFloat>& hidState, CuMatrix<BaseFloat>& visProbs);
+      void RbmUpdate(const CuMatrix<BaseFloat>& pos_vis, const CuMatrix<BaseFloat>& pos_hid, const CuMatrix<BaseFloat>& neg_vis, const CuMatrix<BaseFloat>& neg_hid);
+
+      RbmUnitType VisType()
+      { return mVisType; }
+
+      RbmUnitType HidType()
+      { return mHidType; }
+
+      //static void BinarizeProbs(const CuMatrix<BaseFloat>& probs, CuMatrix<BaseFloat>& states);
+
+      //I/O
+      void ReadFromStream(std::istream& rIn);
+      void WriteToStream(std::ostream& rOut);
+
+    protected:
+      CuMatrix<BaseFloat> mVisHid;  ///< Matrix with neuron weights
+      CuVector<BaseFloat> mVisBias;       ///< Vector with biases
+      CuVector<BaseFloat> mHidBias;       ///< Vector with biases
+
+      CuMatrix<BaseFloat> mVisHidCorrection; ///< Matrix for linearity updates
+      CuVector<BaseFloat> mVisBiasCorrection;      ///< Vector for bias updates
+      CuVector<BaseFloat> mHidBiasCorrection;      ///< Vector for bias updates
+
+      CuMatrix<BaseFloat> mBackpropErrBuf;
+
+      RbmUnitType mVisType;
+      RbmUnitType mHidType;
+
+      ////// sparsity 
+      BaseFloat mSparsityPrior; ///< sparsity target (unit activity prior)
+      BaseFloat mLambda; ///< exponential decay factor for q (observed probability of unit to be active)
+      BaseFloat mSparsityCost; ///< sparsity cost coef.
+
+      CuVector<BaseFloat> mSparsityQ;
+      CuVector<BaseFloat> mSparsityQCurrent;
+      CuVector<BaseFloat> mVisMean; ///< buffer for mean visible
+
+  };
+
+
+
+
+  ////////////////////////////////////////////////////////////////////////////
+  // INLINE FUNCTIONS 
+  // CuRbmSparse::
+  inline 
+  CuRbmSparse::
+  CuRbmSparse(size_t nInputs, size_t nOutputs, CuComponent *pPred)
+    : CuRbmBase(nInputs, nOutputs, pPred), 
+      mVisHid(nInputs,nOutputs), 
+      mVisBias(nInputs), mHidBias(nOutputs),
+      mVisHidCorrection(nInputs,nOutputs), 
+      mVisBiasCorrection(nInputs), mHidBiasCorrection(nOutputs),
+      mBackpropErrBuf(),
+      mVisType(BERNOULLI),
+      mHidType(BERNOULLI),
+
+      mSparsityPrior(0.0001),
+      mLambda(0.95),
+      mSparsityCost(1e-7),
+      mSparsityQ(nOutputs),
+      mSparsityQCurrent(nOutputs),
+      mVisMean(nInputs)
+  { 
+    mVisHidCorrection.SetConst(0.0);
+    mVisBiasCorrection.SetConst(0.0);
+    mHidBiasCorrection.SetConst(0.0);
+
+    mSparsityQ.SetConst(mSparsityPrior);
+    mSparsityQCurrent.SetConst(0.0);
+    mVisMean.SetConst(0.0);
+  }
+
+
+  inline
+  CuRbmSparse::
+  ~CuRbmSparse()
+  { }
+
+  inline CuComponent::ComponentType
+  CuRbmSparse::
+  GetType() const
+  {
+    return CuComponent::RBM_SPARSE;
+  }
+
+  inline const char*
+  CuRbmSparse::
+  GetName() const
+  {
+    return "<rbmsparse>";
+  }
+
+
+
+} //namespace
+
+
+
+#endif