fc_layer_sg.h

/******************************************************
*   
*   FEEDFORWARD LAYER WITH SIGMOID ACTIVATION
*           FUNCTION
*
******************************************************/
 
#ifndef FC_LAYER_SG_H 
#define FC_LAYER_SG_H 
 
//STD libs
#include<vector>
#include<omp.h>
 
//Eigen libs
#include"Eigen/Dense"
 
//Neural network libs
#include"activation_functions.h"
#include"layer.h"
 
class fc_layer_sg : public layer
{
    public:
    
    //ctors
    fc_layer_sg( ) : layer() {  };
    fc_layer_sg(const std::vector<std::vector<double>> &weights_,const std::vector<double> &biases_);
    fc_layer_sg(const Eigen::MatrixXd &weights_,const std::vector<double> &biases_);
    fc_layer_sg(const Eigen::MatrixXd &weights_,const Eigen::VectorXd &biases_);
    
    //dtor
    ~fc_layer_sg(){ };
    
    //Computes the output of the layer given an input
    Eigen::VectorXd predict(const Eigen::VectorXd & input) override;
    std::vector<Eigen::VectorXd> predict_batch(const std::vector<Eigen::VectorXd> & input) override;
 
    //Jacobians
    //Result contains only non-zero entries (reduced form)
    Eigen::MatrixXd compute_partial_derivatives_wrt_inputs(Eigen::VectorXd &input) override;
    Eigen::MatrixXd compute_partial_derivatives_wrt_weights_biases(Eigen::VectorXd &input) override;
 
};
 
#endif /* FC_LAYER_SG_H */