mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-11-13 13:57:19 +01:00
98 lines
2.3 KiB
C++
98 lines
2.3 KiB
C++
|
|
#ifndef MLPP_HIDDEN_LAYER_H
|
|
#define MLPP_HIDDEN_LAYER_H
|
|
|
|
//
|
|
// HiddenLayer.hpp
|
|
//
|
|
// Created by Marc Melikyan on 11/4/20.
|
|
//
|
|
|
|
#include "core/containers/hash_map.h"
|
|
#include "core/math/math_defs.h"
|
|
#include "core/string/ustring.h"
|
|
|
|
#include "core/object/reference.h"
|
|
|
|
#include "../activation/activation.h"
|
|
#include "../utilities/utilities.h"
|
|
|
|
#include "../lin_alg/mlpp_matrix.h"
|
|
#include "../lin_alg/mlpp_vector.h"
|
|
|
|
#include <map>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
class MLPPHiddenLayer : public Reference {
|
|
GDCLASS(MLPPHiddenLayer, Reference);
|
|
|
|
public:
|
|
int n_hidden;
|
|
MLPPActivation::ActivationFunction activation;
|
|
|
|
Ref<MLPPMatrix> input;
|
|
|
|
Ref<MLPPMatrix> weights;
|
|
Ref<MLPPVector> bias;
|
|
|
|
Ref<MLPPMatrix> z;
|
|
Ref<MLPPMatrix> a;
|
|
|
|
Ref<MLPPVector> z_test;
|
|
Ref<MLPPVector> a_test;
|
|
|
|
Ref<MLPPMatrix> delta;
|
|
|
|
// Regularization Params
|
|
String reg;
|
|
real_t lambda; /* Regularization Parameter */
|
|
real_t alpha; /* This is the controlling param for Elastic Net*/
|
|
|
|
MLPPUtilities::WeightDistributionType weight_init;
|
|
|
|
void forward_pass();
|
|
void test(const Ref<MLPPVector> &x);
|
|
|
|
MLPPHiddenLayer(int p_n_hidden, MLPPActivation::ActivationFunction p_activation, Ref<MLPPMatrix> p_input, MLPPUtilities::WeightDistributionType p_weight_init, String p_reg, real_t p_lambda, real_t p_alpha);
|
|
|
|
MLPPHiddenLayer();
|
|
~MLPPHiddenLayer();
|
|
};
|
|
|
|
|
|
class MLPPOldHiddenLayer {
|
|
public:
|
|
MLPPOldHiddenLayer(int n_hidden, std::string activation, 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::vector<std::vector<real_t>> input;
|
|
|
|
std::vector<std::vector<real_t>> weights;
|
|
std::vector<real_t> bias;
|
|
|
|
std::vector<std::vector<real_t>> z;
|
|
std::vector<std::vector<real_t>> a;
|
|
|
|
std::map<std::string, std::vector<std::vector<real_t>> (MLPPActivation::*)(std::vector<std::vector<real_t>>, bool)> activation_map;
|
|
std::map<std::string, std::vector<real_t> (MLPPActivation::*)(std::vector<real_t>, bool)> activationTest_map;
|
|
|
|
std::vector<real_t> z_test;
|
|
std::vector<real_t> a_test;
|
|
|
|
std::vector<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 /* HiddenLayer_hpp */ |