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114 lines
4.1 KiB
C++
114 lines
4.1 KiB
C++
//
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// HiddenLayer.cpp
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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 "HiddenLayer.hpp"
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#include "Activation/Activation.hpp"
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#include "LinAlg/LinAlg.hpp"
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#include "Utilities/Utilities.hpp"
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#include <iostream>
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#include <random>
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namespace MLPP {
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HiddenLayer::HiddenLayer(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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: n_hidden(n_hidden), activation(activation), input(input), weightInit(weightInit), reg(reg), lambda(lambda), alpha(alpha)
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{
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weights = Utilities::weightInitialization(input[0].size(), n_hidden, weightInit);
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bias = Utilities::biasInitialization(n_hidden);
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activation_map["Linear"] = &Activation::linear;
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activationTest_map["Linear"] = &Activation::linear;
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activation_map["Sigmoid"] = &Activation::sigmoid;
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activationTest_map["Sigmoid"] = &Activation::sigmoid;
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activation_map["Swish"] = &Activation::swish;
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activationTest_map["Swish"] = &Activation::swish;
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activation_map["Mish"] = &Activation::mish;
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activationTest_map["Mish"] = &Activation::mish;
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activation_map["SinC"] = &Activation::sinc;
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activationTest_map["SinC"] = &Activation::sinc;
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activation_map["Softplus"] = &Activation::softplus;
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activationTest_map["Softplus"] = &Activation::softplus;
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activation_map["Softsign"] = &Activation::softsign;
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activationTest_map["Softsign"] = &Activation::softsign;
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activation_map["CLogLog"] = &Activation::cloglog;
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activationTest_map["CLogLog"] = &Activation::cloglog;
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activation_map["Logit"] = &Activation::logit;
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activationTest_map["Logit"] = &Activation::logit;
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activation_map["GaussianCDF"] = &Activation::gaussianCDF;
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activationTest_map["GaussianCDF"] = &Activation::gaussianCDF;
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activation_map["RELU"] = &Activation::RELU;
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activationTest_map["RELU"] = &Activation::RELU;
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activation_map["GELU"] = &Activation::GELU;
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activationTest_map["GELU"] = &Activation::GELU;
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activation_map["Sign"] = &Activation::sign;
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activationTest_map["Sign"] = &Activation::sign;
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activation_map["UnitStep"] = &Activation::unitStep;
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activationTest_map["UnitStep"] = &Activation::unitStep;
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activation_map["Sinh"] = &Activation::sinh;
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activationTest_map["Sinh"] = &Activation::sinh;
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activation_map["Cosh"] = &Activation::cosh;
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activationTest_map["Cosh"] = &Activation::cosh;
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activation_map["Tanh"] = &Activation::tanh;
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activationTest_map["Tanh"] = &Activation::tanh;
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activation_map["Csch"] = &Activation::csch;
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activationTest_map["Csch"] = &Activation::csch;
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activation_map["Sech"] = &Activation::sech;
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activationTest_map["Sech"] = &Activation::sech;
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activation_map["Coth"] = &Activation::coth;
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activationTest_map["Coth"] = &Activation::coth;
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activation_map["Arsinh"] = &Activation::arsinh;
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activationTest_map["Arsinh"] = &Activation::arsinh;
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activation_map["Arcosh"] = &Activation::arcosh;
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activationTest_map["Arcosh"] = &Activation::arcosh;
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activation_map["Artanh"] = &Activation::artanh;
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activationTest_map["Artanh"] = &Activation::artanh;
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activation_map["Arcsch"] = &Activation::arcsch;
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activationTest_map["Arcsch"] = &Activation::arcsch;
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activation_map["Arsech"] = &Activation::arsech;
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activationTest_map["Arsech"] = &Activation::arsech;
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activation_map["Arcoth"] = &Activation::arcoth;
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activationTest_map["Arcoth"] = &Activation::arcoth;
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}
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void HiddenLayer::forwardPass(){
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LinAlg alg;
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Activation avn;
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z = alg.mat_vec_add(alg.matmult(input, weights), bias);
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a = (avn.*activation_map[activation])(z, 0);
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}
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void HiddenLayer::Test(std::vector<double> x){
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LinAlg alg;
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Activation avn;
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z_test = alg.addition(alg.mat_vec_mult(alg.transpose(weights), x), bias);
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a_test = (avn.*activationTest_map[activation])(z_test, 0);
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}
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} |