log_cosh_loss.hpp
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1 
13 #ifndef MLPACK_METHODS_ANN_LOSS_FUNCTION_LOG_COSH_LOSS_HPP
14 #define MLPACK_METHODS_ANN_LOSS_FUNCTION_LOG_COSH_LOSS_HPP
15 
16 #include <mlpack/prereqs.hpp>
17 
18 namespace mlpack {
19 namespace ann {
20 
31 template <
32  typename InputDataType = arma::mat,
33  typename OutputDataType = arma::mat
34 >
36 {
37  public:
49  LogCoshLoss(const double a = 1.0);
50 
57  template<typename InputType, typename TargetType>
58  typename InputType::elem_type Forward(const InputType& input,
59  const TargetType& target);
60 
68  template<typename InputType, typename TargetType, typename OutputType>
69  void Backward(const InputType& input,
70  const TargetType& target,
71  OutputType& output);
72 
74  OutputDataType& OutputParameter() const { return outputParameter; }
76  OutputDataType& OutputParameter() { return outputParameter; }
77 
79  double A() const { return a; }
81  double& A() { return a; }
82 
86  template<typename Archive>
87  void serialize(Archive& ar, const unsigned int /* version */);
88 
89  private:
91  OutputDataType outputParameter;
92 
94  double a;
95 }; // class LogCoshLoss
96 
97 } // namespace ann
98 } // namespace mlpack
99 
100 // include implementation
101 #include "log_cosh_loss_impl.hpp"
102 
103 #endif
Linear algebra utility functions, generally performed on matrices or vectors.
OutputDataType & OutputParameter()
Modify the output parameter.
The core includes that mlpack expects; standard C++ includes and Armadillo.
LogCoshLoss(const double a=1.0)
Create the Log-Hyperbolic-Cosine object with the specified parameters.
void serialize(Archive &ar, const unsigned int)
Serialize the loss function.
OutputDataType & OutputParameter() const
Get the output parameter.
double & A()
Modify the value of hyperparameter a.
The Log-Hyperbolic-Cosine loss function is often used to improve variational auto encoder...
double A() const
Get the value of hyperparameter a.
InputType::elem_type Forward(const InputType &input, const TargetType &target)
Computes the Log-Hyperbolic-Cosine loss function.
void Backward(const InputType &input, const TargetType &target, OutputType &output)
Ordinary feed backward pass of a neural network.