parametric_relu.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_PReLU_HPP
#define MLPACK_METHODS_ANN_LAYER_PReLU_HPP
 
#include <mlpack/prereqs.hpp>
 
namespace mlpack {
namespace ann  {
 
template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class PReLU
{
 public:
  PReLU(const double userAlpha = 0.03);
 
  /*
   * Reset the layer parameter.
   */
  void Reset();
 
  template<typename InputType, typename OutputType>
  void Forward(const InputType& input, OutputType& output);
 
  template<typename DataType>
  void Backward(const DataType& input, const DataType& gy, DataType& g);
 
  template<typename eT>
  void Gradient(const arma::Mat<eT>& input,
                const arma::Mat<eT>& error,
                arma::Mat<eT>& gradient);
 
  OutputDataType const& Parameters() const { return alpha; }
  OutputDataType& Parameters() { return alpha; }
 
  OutputDataType const& OutputParameter() const { return outputParameter; }
  OutputDataType& OutputParameter() { return outputParameter; }
 
  OutputDataType const& Delta() const { return delta; }
  OutputDataType& Delta() { return delta; }
 
  OutputDataType const& Gradient() const { return gradient; }
  OutputDataType& Gradient() { return gradient; }
 
  double const& Alpha() const { return alpha(0); }
  double& Alpha() { return alpha(0); }
 
  template<typename Archive>
  void serialize(Archive& ar, const unsigned int /* version */);
 
 private:
  OutputDataType delta;
 
  OutputDataType outputParameter;
 
  OutputDataType alpha;
 
  OutputDataType gradient;
 
  double userAlpha;
}; // class PReLU
 
} // namespace ann
} // namespace mlpack
 
// Include implementation.
#include "parametric_relu_impl.hpp"
 
#endif