/// <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();
}
/// <summary>
/// Получение и обновление дельты свёрточного слоя.
/// </summary>
/// <param name="hiddenLayer">Скрытый слой.</param>
/// <param name="convolutionalLayer">Свёрточный слой.</param>
private void ConvolutionalToHiddenDeltasWork(HiddenLayer hiddenLayer, ConvolutionalLayer convolutionalLayer)
{
var convolutionalLayerNeurons = convolutionalLayer.GetLayerNeurons();
var convolutionalLayerOutputs = new List <double>();
convolutionalLayerNeurons.ForEach(neuron =>
convolutionalLayerOutputs.Add(neuron.Output));
var convolutionalLayerDeltas = GetConvolutionalLayerDeltas(convolutionalLayerOutputs,
hiddenLayer.GetLayerNeurons());
convolutionalLayer.UpdateDeltas(convolutionalLayerDeltas);
}
/// <summary>
/// Выполнить вычисления для ядра фильтра.
/// </summary>
/// <param name="convolutionalLayer">Свёрточный слой.</param>
/// <param name="inputLayer">Входной слой.</param>
private void FilterCoreWork(ConvolutionalLayer convolutionalLayer, InputLayer inputLayer)
{
var inputLayerNeurons = inputLayer.GetLayerNeurons();
var convolutionalLayerDeltas = new List <double>();
convolutionalLayer.GetLayerNeurons().ForEach(neuron => convolutionalLayerDeltas.Add(neuron.Delta));
var filterCoreMatrixDeltas = GetFilterCoreDeltasMatrix(
inputLayerNeurons, convolutionalLayerDeltas);
var filterCoreMatrixGradients = GetFilterCoreGradientMatrix(
filterCoreMatrixDeltas, inputLayerNeurons);
UpdateCore(filterCoreMatrixGradients);
}
/// <summary>
/// Получение градиента между нейронами свёрточного слоя и скрытого, и обновление весов.
/// </summary>
/// <param name="hiddenLayer">Скрытый слой.</param>
/// <param name="convolutionalLayer">Свёрточный слой.</param>
private void ConvolutionalToHiddenWeightsWork(HiddenLayer hiddenLayer, ConvolutionalLayer convolutionalLayer)
{
var convolutionalLayerNeurons = convolutionalLayer.GetLayerNeurons();
var convolutionalLayerOutputs = new List <double>();
var hiddenLayerNeurons = hiddenLayer.GetLayerNeurons();
var hiddenLayerDeltas = new List <double>();
convolutionalLayerNeurons.ForEach(neuron => convolutionalLayerOutputs.Add(neuron.Output));
hiddenLayerNeurons.ForEach(neuron => hiddenLayerDeltas.Add(neuron.Delta));
var convolutionalNeuronToGradientsDictionary = GetConvolutionalToHiddenGradients(
convolutionalLayerOutputs, hiddenLayerDeltas);
UpdateConvolutionalToHiddenWeights(convolutionalNeuronToGradientsDictionary, hiddenLayer);
}
/// <summary>
/// Инициализировать нейронную сеть.
/// </summary>
public void InitializeNetwork()
{
var inputLayer = new InputLayer(_imageData);
inputLayer.Initialize();
var convolutionalLayer = new ConvolutionalLayer(inputLayer.GetLayerNeurons());
convolutionalLayer.RecognizeMode(FilterCoreModel.GetCore);
var hiddenLayer = new HiddenLayer(convolutionalLayer.GetLayerNeurons());
hiddenLayer.RecognizeMode(_weightsInHiddenLayer);
var outputLayer = new OutputLayer(hiddenLayer.GetLayerNeurons());
outputLayer.RecognizeMode(_weightsInOutputLayer);
ToRecognizeImage(outputLayer.GetOutputNeuron().Output);
}
/// <summary>
/// Обновить слои.
/// </summary>
/// <param name="outputLayer">Выходной слой.</param>
/// <param name="hiddenLayer">Скрытый слой.</param>
/// <param name="convolutionalLayer">Свёрточный слой.</param>
/// <param name="inputLayer">Входной слой.</param>
/// <param name="currentIteration">Текущая итерация.</param>
private void LayersUpdate(OutputLayer outputLayer, HiddenLayer hiddenLayer,
ConvolutionalLayer convolutionalLayer, InputLayer inputLayer, int currentIteration)
{
inputLayer.UpdateInputData(_dataSets[currentIteration]);
convolutionalLayer.UpdateData(FilterCoreModel.GetCore, inputLayer.GetLayerNeurons());
var inputsToHiddenLayer = new List <double>();
convolutionalLayer.GetLayerNeurons().ForEach(neuron =>
inputsToHiddenLayer.Add(neuron.Output));
hiddenLayer.UpdateNeuronsInputs(inputsToHiddenLayer);
var inputsToOutputLayer = new List <double>();
hiddenLayer.GetLayerNeurons().ForEach(neuron =>
inputsToOutputLayer.Add(neuron.Output));
outputLayer.UpdateNeuronInputs(inputsToOutputLayer);
}
