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60 lines
1.4 KiB
C++
60 lines
1.4 KiB
C++
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#ifndef MLPP_OUTPUT_LAYER_H
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#define MLPP_OUTPUT_LAYER_H
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//
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// OutputLayer.hpp
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//
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// Created by Marc Melikyan on 11/4/20.
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//
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#include "core/math/math_defs.h"
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#include "../activation/activation.h"
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#include "../cost/cost.h"
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#include <map>
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#include <string>
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#include <vector>
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class MLPPOldOutputLayer {
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public:
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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);
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int n_hidden;
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std::string activation;
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std::string cost;
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std::vector<std::vector<real_t>> input;
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std::vector<real_t> weights;
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real_t bias;
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std::vector<real_t> z;
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std::vector<real_t> a;
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std::map<std::string, std::vector<real_t> (MLPPActivation::*)(std::vector<real_t>, bool)> activation_map;
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std::map<std::string, real_t (MLPPActivation::*)(real_t, bool)> activationTest_map;
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std::map<std::string, real_t (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> cost_map;
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std::map<std::string, std::vector<real_t> (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> costDeriv_map;
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real_t z_test;
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real_t a_test;
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std::vector<real_t> delta;
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// Regularization Params
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std::string reg;
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real_t lambda; /* Regularization Parameter */
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real_t alpha; /* This is the controlling param for Elastic Net*/
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std::string weightInit;
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void forwardPass();
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void Test(std::vector<real_t> x);
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};
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#endif /* OutputLayer_hpp */
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