13 #ifndef MLPACK_METHODS_ANN_LAYER_SOFTMIN_HPP    14 #define MLPACK_METHODS_ANN_LAYER_SOFTMIN_HPP    32     typename InputDataType = arma::mat,
    33     typename OutputDataType = arma::mat
    50   template<
typename InputType, 
typename OutputType>
    51   void Forward(
const InputType& input, OutputType& output);
    63   void Backward(
const arma::Mat<eT>& input,
    64                 const arma::Mat<eT>& gy,
    73   InputDataType& 
Delta()
 const { 
return delta; }
    75   InputDataType& 
Delta() { 
return delta; }
    80   template<
typename Archive>
    81   void serialize(Archive& , 
const uint32_t );
    88   OutputDataType outputParameter;
    95 #include "softmin_impl.hpp" Implementation of the Softmin layer. 
 
void Forward(const InputType &input, OutputType &output)
Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activ...
 
Linear algebra utility functions, generally performed on matrices or vectors. 
 
The core includes that mlpack expects; standard C++ includes and Armadillo. 
 
OutputDataType & OutputParameter()
Modify the output parameter. 
 
void Backward(const arma::Mat< eT > &input, const arma::Mat< eT > &gy, arma::Mat< eT > &g)
Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backw...
 
void serialize(Archive &, const uint32_t)
Serialize the layer. 
 
InputDataType & Delta()
Modify the delta. 
 
OutputDataType & OutputParameter() const
Get the output parameter. 
 
InputDataType & Delta() const
Get the delta. 
 
Softmin()
Create the Softmin object.