/// <summary>
/// Инициализация слоёв нейронной сети.
/// </summary>
/// <param name="listOfPicturesmatrix">Список матриц изображений.</param>
/// <param name="layers">Список слоёв.</param>
/// <param name="filterCore">Ядро фильтра.</param>
/// <param name="inputLayerNeurons">Нейроны выходного слоя.</param>
/// <param name="convolutionalLayerNeurons">Нейроны свёрточного слоя.</param>
/// <param name="hiddenLayerNeurons">Нейроны скрытого слоя.</param>
/// <param name="outputNeuron">Нейроны выходного слоя.</param>
private static void LayersInitialize(List <double[, ]> listOfPicturesmatrix, List <Layer> layers,
double[,] filterCore, out Dictionary <string, double> inputLayerNeurons,
out List <NeuronModel> convolutionalLayerNeurons, out List <NeuronModel> hiddenLayerNeurons,
out NeuronModel outputNeuron)
{
var firstDataSet = listOfPicturesmatrix.First();
var inputLayer = new InputLayer(firstDataSet);
inputLayer.Initialize();
layers.Add(inputLayer);
inputLayerNeurons = inputLayer.GetLayerNeurons();
var convolutionalLayer = new ConvolutionalLayer(inputLayerNeurons);
convolutionalLayer.Initialize(filterCore);
layers.Add(convolutionalLayer);
convolutionalLayerNeurons = convolutionalLayer.GetLayerNeurons();
var hiddenLayer = new HiddenLayer(convolutionalLayerNeurons);
hiddenLayer.Initialize();
layers.Add(hiddenLayer);
hiddenLayerNeurons = hiddenLayer.GetLayerNeurons();
var outputLayer = new OutputLayer(hiddenLayerNeurons);
outputLayer.Initilize();
layers.Add(outputLayer);
outputNeuron = outputLayer.GetOutputNeuron();
}