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58 lines
1.4 KiB
C++
58 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 "../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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namespace MLPP {
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class OutputLayer {
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public:
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OutputLayer(int n_hidden, std::string activation, std::string cost, std::vector<std::vector<double>> input, std::string weightInit, std::string reg, double lambda, double 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<double>> input;
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std::vector<double> weights;
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double bias;
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std::vector<double> z;
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std::vector<double> a;
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std::map<std::string, std::vector<double> (Activation::*)(std::vector<double>, bool)> activation_map;
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std::map<std::string, double (Activation::*)(double, bool)> activationTest_map;
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std::map<std::string, double (Cost::*)(std::vector<double>, std::vector<double>)> cost_map;
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std::map<std::string, std::vector<double> (Cost::*)(std::vector<double>, std::vector<double>)> costDeriv_map;
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double z_test;
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double a_test;
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std::vector<double> delta;
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// Regularization Params
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std::string reg;
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double lambda; /* Regularization Parameter */
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double 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<double> x);
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};
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} //namespace MLPP
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#endif /* OutputLayer_hpp */
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