Method computeOutput

src/RaceNet/Network.cpp:32–40

}

Matrix<double> Network::computeOutput(std::vector<double> input) {
    H[0] = Matrix<double>({input}); // row matrix

    for (int i = 1; i < hiddenLayersCount + 2; i++) {
        H[i] = H[i - 1].dot(W[i - 1]).add(B[i - 1]).applyFunction(sigmoid);
    }

    return H[hiddenLayersCount + 1];
}

void Network::learn(std::vector<double> expectedOutput) {
    Y = Matrix<double>({expectedOutput}); // row matrix