pmlpp/mlpp/hidden_layer/hidden_layer.h

53 lines
1.2 KiB
C++

#ifndef MLPP_HIDDEN_LAYER_H
#define MLPP_HIDDEN_LAYER_H
//
// HiddenLayer.hpp
//
// Created by Marc Melikyan on 11/4/20.
//
#include "../activation/activation.h"
#include <map>
#include <string>
#include <vector>
class MLPPHiddenLayer {
public:
MLPPHiddenLayer(int n_hidden, std::string activation, std::vector<std::vector<double>> input, std::string weightInit, std::string reg, double lambda, double alpha);
int n_hidden;
std::string activation;
std::vector<std::vector<double>> input;
std::vector<std::vector<double>> weights;
std::vector<double> bias;
std::vector<std::vector<double>> z;
std::vector<std::vector<double>> a;
std::map<std::string, std::vector<std::vector<double>> (MLPPActivation::*)(std::vector<std::vector<double>>, bool)> activation_map;
std::map<std::string, std::vector<double> (MLPPActivation::*)(std::vector<double>, bool)> activationTest_map;
std::vector<double> z_test;
std::vector<double> a_test;
std::vector<std::vector<double>> delta;
// Regularization Params
std::string reg;
double lambda; /* Regularization Parameter */
double alpha; /* This is the controlling param for Elastic Net*/
std::string weightInit;
void forwardPass();
void Test(std::vector<double> x);
};
#endif /* HiddenLayer_hpp */