#ifndef MLPP_HIDDEN_LAYER_OLD_H #define MLPP_HIDDEN_LAYER_OLD_H // // HiddenLayer.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_old.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 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>> (MLPPActivationOld::*)(std::vector<std::vector<real_t>>, bool)> activation_map; std::map<std::string, std::vector<real_t> (MLPPActivationOld::*)(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 */