/// <summary>
/// Выполнить обучение.
/// </summary>
private static void DoLearnWork()
{
Console.BackgroundColor = ConsoleColor.Green;
Console.ForegroundColor = ConsoleColor.Black;
Console.WriteLine(ConsoleMessageConstants.LEARN_RESULT_MESSAGE);
Console.BackgroundColor = ConsoleColor.Black;
Console.ForegroundColor = ConsoleColor.Green;
var pathToFiles = GetPathToFiles();
var pathToResources = PathHelper.GetResourcesPath();
if (string.IsNullOrEmpty(pathToFiles))
{
pathToFiles = pathToResources;
}
var images = Directory.GetFiles(pathToFiles).ToList();
var converter = new ImageConverterUtil(images);
var listOfPicturesMatrix = converter.ConvertImagesToMatrix();
var iterationsCount = listOfPicturesMatrix.Count;
var configuration = new Configuration
{
Alpha = 3.1,
Epsilon = 3.1,
EpochCount = 3,
IdealResult = 1,
IterationsInEpochCount = iterationsCount
};
var layers = new List <Layer>();
var filterCore = FilterCoreModel.Initialize();
LayersInitialize(listOfPicturesMatrix, layers, filterCore,
out Dictionary <string, double> inputLayerWeights,
out List <NeuronModel> convolutionalLayerNeurons,
out List <NeuronModel> hiddenLayerNeurons,
out NeuronModel outputNeuron);
var learningUtil = new LearningUtil(layers, configuration, listOfPicturesMatrix);
learningUtil.StartToLearn();
}
/// <summary>
/// Выполнить.
/// </summary>
/// <param name="parameter">Параметр.</param>
protected override void Execute(MainWindowVM parameter)
{
if (!parameter.Data.Any())
{
MessageBox.Show("Отсутвуют данные для обучения!\n" +
"Загрузите данные.");
return;
}
var countOfLayerNeurons = int.Parse(parameter.CountOfHiddenLayerNeurons);
//if (countOfLayerNeurons.Equals(0))
//{
// MessageBox.Show("Операция для 0 нейронов не реализована.");
// return;
//}
var alphaString = string.Empty;
var epsilonString = string.Empty;
var epochCountString = parameter.EpochCount;
if (parameter.Alpha.Contains("."))
{
alphaString = parameter.Alpha.Replace(".", ",");
}
else
{
alphaString = parameter.Alpha;
}
if (!double.TryParse(alphaString, out var alpha))
{
MessageBox.Show("Параметры имеют неверный формат!", "Ошибка",
MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
if (parameter.Epsilon.Contains("."))
{
epsilonString = parameter.Epsilon.Replace(".", ",");
}
else
{
epsilonString = parameter.Epsilon;
}
if (!double.TryParse(epsilonString, out var epsilon))
{
MessageBox.Show("Параметры имеют неверный формат!", "Ошибка",
MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
if (!int.TryParse(epochCountString, out var epochCount))
{
MessageBox.Show("Параметры имеют неверный формат!", "Ошибка",
MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
var configuration = new ConfigurationModel()
{
Alpha = alpha,
Epsilon = epsilon,
EpochCount = epochCount
};
var learningUtil = new LearningUtil(parameter.Data, countOfLayerNeurons, configuration);
learningUtil.Start();
}
