mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-12-22 15:06:47 +01:00
59 lines
2.2 KiB
C++
59 lines
2.2 KiB
C++
|
|
#ifndef MLPP_GAN_OLD_hpp
|
|
#define MLPP_GAN_OLD_hpp
|
|
|
|
//
|
|
// GAN.hpp
|
|
//
|
|
// Created by Marc Melikyan on 11/4/20.
|
|
//
|
|
|
|
#include "core/math/math_defs.h"
|
|
|
|
#include "../hidden_layer/hidden_layer.h"
|
|
#include "../output_layer/output_layer.h"
|
|
|
|
#include "../hidden_layer/hidden_layer_old.h"
|
|
#include "../output_layer/output_layer_old.h"
|
|
|
|
#include <string>
|
|
#include <tuple>
|
|
#include <vector>
|
|
|
|
class MLPPGANOld {
|
|
public:
|
|
MLPPGANOld(real_t k, std::vector<std::vector<real_t>> outputSet);
|
|
~MLPPGANOld();
|
|
std::vector<std::vector<real_t>> generateExample(int n);
|
|
void gradientDescent(real_t learning_rate, int max_epoch, bool UI = false);
|
|
real_t score();
|
|
void save(std::string fileName);
|
|
|
|
void addLayer(int n_hidden, std::string activation, std::string weightInit = "Default", std::string reg = "None", real_t lambda = 0.5, real_t alpha = 0.5);
|
|
void addOutputLayer(std::string weightInit = "Default", std::string reg = "None", real_t lambda = 0.5, real_t alpha = 0.5);
|
|
|
|
private:
|
|
std::vector<std::vector<real_t>> modelSetTestGenerator(std::vector<std::vector<real_t>> X); // Evaluator for the generator of the gan.
|
|
std::vector<real_t> modelSetTestDiscriminator(std::vector<std::vector<real_t>> X); // Evaluator for the discriminator of the gan.
|
|
|
|
real_t Cost(std::vector<real_t> y_hat, std::vector<real_t> y);
|
|
|
|
void forwardPass();
|
|
void updateDiscriminatorParameters(std::vector<std::vector<std::vector<real_t>>> hiddenLayerUpdations, std::vector<real_t> outputLayerUpdation, real_t learning_rate);
|
|
void updateGeneratorParameters(std::vector<std::vector<std::vector<real_t>>> hiddenLayerUpdations, real_t learning_rate);
|
|
std::tuple<std::vector<std::vector<std::vector<real_t>>>, std::vector<real_t>> computeDiscriminatorGradients(std::vector<real_t> y_hat, std::vector<real_t> outputSet);
|
|
std::vector<std::vector<std::vector<real_t>>> computeGeneratorGradients(std::vector<real_t> y_hat, std::vector<real_t> outputSet);
|
|
|
|
void UI(int epoch, real_t cost_prev, std::vector<real_t> y_hat, std::vector<real_t> outputSet);
|
|
|
|
std::vector<std::vector<real_t>> outputSet;
|
|
std::vector<real_t> y_hat;
|
|
|
|
std::vector<MLPPOldHiddenLayer> network;
|
|
MLPPOldOutputLayer *outputLayer;
|
|
|
|
int n;
|
|
int k;
|
|
};
|
|
|
|
#endif /* GAN_hpp */ |