Function accuracy

examples/machine_learning/neural_network.cpp:29–34

}

float accuracy(const array &predicted, const array &target) {
    array val, plabels, tlabels;
    max(val, tlabels, target, 1);
    max(val, plabels, predicted, 1);
    return 100 * count<float>(plabels == tlabels) / tlabels.elements();
}

// Derivative of the activation function
array deriv(const array &out) { return out * (1 - out); }