enum cv::ml::ANN_MLP::TrainFlags

Overview

Train options More…

#include <ml.hpp>

enum TrainFlags
{
    UPDATE_WEIGHTS  = 1,
    NO_INPUT_SCALE  = 2,
    NO_OUTPUT_SCALE = 4,
};

Detailed Documentation

Train options

Enum Values

UPDATE_WEIGHTS

Update the network weights, rather than compute them from scratch. In the latter case the weights are initialized using the Nguyen-Widrow algorithm.

NO_INPUT_SCALE

Do not normalize the input vectors. If this flag is not set, the training algorithm normalizes each input feature independently, shifting its mean value to 0 and making the standard deviation equal to 1. If the network is assumed to be updated frequently, the new training data could be much different from original one. In this case, you should take care of proper normalization.

NO_OUTPUT_SCALE

Do not normalize the output vectors. If the flag is not set, the training algorithm normalizes each output feature independently, by transforming it to the certain range depending on the used activation function.