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53 lines
1.2 KiB
C++
53 lines
1.2 KiB
C++
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#ifndef MLPP_HIDDEN_LAYER_H
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#define MLPP_HIDDEN_LAYER_H
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//
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// HiddenLayer.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 <map>
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#include <string>
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#include <vector>
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class MLPPHiddenLayer {
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public:
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MLPPHiddenLayer(int n_hidden, std::string activation, 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::vector<std::vector<double>> input;
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std::vector<std::vector<double>> weights;
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std::vector<double> bias;
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std::vector<std::vector<double>> z;
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std::vector<std::vector<double>> a;
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std::map<std::string, std::vector<std::vector<double>> (MLPPActivation::*)(std::vector<std::vector<double>>, bool)> activation_map;
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std::map<std::string, std::vector<double> (MLPPActivation::*)(std::vector<double>, bool)> activationTest_map;
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std::vector<double> z_test;
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std::vector<double> a_test;
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std::vector<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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#endif /* HiddenLayer_hpp */ |