fc_layer_sm.h

/******************************************************
*   
*   FEEDFORWARD LAYER WITH SOFTPLUS ACTIVATION
*           FUNCTION
*
******************************************************/
 
#ifndef FC_LAYER_SM_H 
#define FC_LAYER_SM_H 
 
//STD libs
#include<vector>
 
//OpenMP libs
#include<omp.h>
 
//Eigen libs
#include"Eigen/Dense"
 
//Neural network libs
#include"activation_functions.h"
#include"layer.h"
 
class fc_layer_sm : public layer
{
    public:
    //ctors
    fc_layer_sm( ) : layer() {  };
    fc_layer_sm(const std::vector<std::vector<double>> &weights_, const std::vector<double> &biases_);
    fc_layer_sm(const Eigen::MatrixXd &weights_, const Eigen::VectorXd &biases_);
    fc_layer_sm(const Eigen::MatrixXd &weights_, const std::vector<double> &biases_);
    //dtor
    ~fc_layer_sm(){ };
    //compute the output of the layer given an input
    Eigen::VectorXd predict(const Eigen::VectorXd & input) override;
    //get info about the layer
    int get_num_nodes();
    int get_input_size();
    
    //Partial derivatives
    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_SM_H */