Method Network

src/RaceNet/Network.cpp:7–26

#include "Network.h"

Network::Network(std::vector<int> neurons, double learningRate) {
    srand(time(NULL));

    this->learningRate = learningRate;
    this->hiddenLayersCount = neurons.size() - 2;

    H = std::vector<Matrix<double> >(hiddenLayersCount + 2);
    W = std::vector<Matrix<double> >(hiddenLayersCount + 1);
    B = std::vector<Matrix<double> >(hiddenLayersCount + 1);
    dEdW = std::vector<Matrix<double> >(hiddenLayersCount + 1);
    dEdB = std::vector<Matrix<double> >(hiddenLayersCount + 1);

    for (int i = 0; i < neurons.size() - 1; i++) {
        W[i] = Matrix<double>(neurons[i], neurons[i + 1]);
        B[i] = Matrix<double>(1, neurons[i + 1]);

        W[i] = W[i].applyFunction(random);
        B[i] = B[i].applyFunction(random);
    }
}

Network::Network(const char *filepath) {
    loadNetworkParams(filepath);