public Form1() { InitializeComponent(); _perceptron = new Perceptron(18 * 18, 4, 25); //originalImage = null; _originalImages = new Dictionary <string, Bitmap>(); _imageClassDictionary = new Dictionary <string, int>(); ImageInitialization(); //_neuralNetwork = new NeuralNetwork(); //_neuralNetwork.TeachingNeuralNetwork(_originalImages.Values.ToArray()); InitializationPicturesPanel(); for (int i = 0; i < 10; i++) { foreach (var image in _originalImages) { _perceptron.TrainedNeural(new ImageMapper().ToDouble(image.Value), _imageClassDictionary[image.Key]); } } }
public Form1() { InitializeComponent(); _perceptron = new Perceptron(18*18,4,25); //originalImage = null; _originalImages = new Dictionary<string, Bitmap>(); _imageClassDictionary = new Dictionary<string, int>(); ImageInitialization(); //_neuralNetwork = new NeuralNetwork(); //_neuralNetwork.TeachingNeuralNetwork(_originalImages.Values.ToArray()); InitializationPicturesPanel(); for (int i = 0; i < 10; i++) { foreach (var image in _originalImages) { _perceptron.TrainedNeural(new ImageMapper().ToDouble(image.Value), _imageClassDictionary[image.Key]); } } }
public static void Main(string[] args) { Perceptron perceptron = new Perceptron(4, 4, 2); }