Method loadNetworkParams

src/RaceNet/Network.cpp:97–137

}

void Network::loadNetworkParams(const char *filepath) {
    std::ifstream in(filepath);
    std::vector<Matrix<double> > params;
    double val;
    int h, w;

    if (in) {
        in >> hiddenLayersCount;
        in >> learningRate;

        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 < 2 * hiddenLayersCount + 2; i++) {
            in >> h;
            in >> w;
            Matrix<double> m(h, w);
            for (int hh = 0; hh < h; hh++) {
                for (int ww = 0; ww < w; ww++) {
                    in >> val;
                    m.put(hh, ww, val);
                }
            }

            params.push_back(m);
        }
    }
    in.close();

    // assign values
    for (int i = 0; i < hiddenLayersCount + 1; i++) {
        W[i] = params[i];
    }

    for (int i = hiddenLayersCount + 1; i < params.size(); i++) {
        B[i - hiddenLayersCount - 1] = params[i];
    }
}

double Network::random(double x) {
    return (double) (rand() % 10000 + 1) / 10000 - 0.5;