13 #ifndef MLPACK_METHODS_ANN_LOSS_FUNCTION_SIGMOID_CROSS_ENTROPY_ERROR_HPP    14 #define MLPACK_METHODS_ANN_LOSS_FUNCTION_SIGMOID_CROSS_ENTROPY_ERROR_HPP    49     typename InputDataType = arma::mat,
    50     typename OutputDataType = arma::mat
    67   template<
typename PredictionType, 
typename TargetType>
    68   inline typename PredictionType::elem_type 
Forward(
    69       const PredictionType& prediction,
    70       const TargetType& target);
    80   template<
typename PredictionType, 
typename TargetType, 
typename LossType>
    81   inline void Backward(
const PredictionType& prediction,
    82                        const TargetType& target,
    93   template<
typename Archive>
    94   void serialize(Archive& ar, 
const uint32_t );
    98   OutputDataType outputParameter;
   105 #include "sigmoid_cross_entropy_error_impl.hpp" void serialize(Archive &ar, const uint32_t)
Serialize the layer. 
 
Linear algebra utility functions, generally performed on matrices or vectors. 
 
SigmoidCrossEntropyError()
Create the SigmoidCrossEntropyError object. 
 
OutputDataType & OutputParameter()
Modify the output parameter. 
 
The core includes that mlpack expects; standard C++ includes and Armadillo. 
 
void Backward(const PredictionType &prediction, const TargetType &target, LossType &loss)
Ordinary feed backward pass of a neural network. 
 
PredictionType::elem_type Forward(const PredictionType &prediction, const TargetType &target)
Computes the Sigmoid CrossEntropy Error functions. 
 
OutputDataType & OutputParameter() const
Get the output parameter. 
 
The SigmoidCrossEntropyError performance function measures the network's performance according to the...