mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-12-22 15:06:47 +01:00
66 lines
1.6 KiB
C++
66 lines
1.6 KiB
C++
|
|
#ifndef MLPP_OUTPUT_LAYER_OLD_H
|
|
#define MLPP_OUTPUT_LAYER_OLD_H
|
|
|
|
//
|
|
// OutputLayer.hpp
|
|
//
|
|
// Created by Marc Melikyan on 11/4/20.
|
|
//
|
|
|
|
#include "core/math/math_defs.h"
|
|
#include "core/string/ustring.h"
|
|
|
|
#include "core/object/reference.h"
|
|
|
|
#include "../activation/activation.h"
|
|
#include "../cost/cost.h"
|
|
#include "../regularization/reg.h"
|
|
#include "../utilities/utilities.h"
|
|
|
|
#include "../lin_alg/mlpp_matrix.h"
|
|
#include "../lin_alg/mlpp_vector.h"
|
|
|
|
#include <map>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
class MLPPOldOutputLayer {
|
|
public:
|
|
MLPPOldOutputLayer(int n_hidden, std::string activation, std::string cost, std::vector<std::vector<real_t>> input, std::string weightInit, std::string reg, real_t lambda, real_t alpha);
|
|
|
|
int n_hidden;
|
|
std::string activation;
|
|
std::string cost;
|
|
|
|
std::vector<std::vector<real_t>> input;
|
|
|
|
std::vector<real_t> weights;
|
|
real_t bias;
|
|
|
|
std::vector<real_t> z;
|
|
std::vector<real_t> a;
|
|
|
|
std::map<std::string, std::vector<real_t> (MLPPActivation::*)(std::vector<real_t>, bool)> activation_map;
|
|
std::map<std::string, real_t (MLPPActivation::*)(real_t, bool)> activationTest_map;
|
|
std::map<std::string, real_t (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> cost_map;
|
|
std::map<std::string, std::vector<real_t> (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> costDeriv_map;
|
|
|
|
real_t z_test;
|
|
real_t a_test;
|
|
|
|
std::vector<real_t> delta;
|
|
|
|
// Regularization Params
|
|
std::string reg;
|
|
real_t lambda; /* Regularization Parameter */
|
|
real_t alpha; /* This is the controlling param for Elastic Net*/
|
|
|
|
std::string weightInit;
|
|
|
|
void forwardPass();
|
|
void Test(std::vector<real_t> x);
|
|
};
|
|
|
|
#endif /* OutputLayer_hpp */
|