public static void OpenAndTest(string location) { string imageFileName = @"C:\Users\user\source\Repos\NumberRecognitionNN\Neural Network\Neural Network\t10k-images.idx3-ubyte"; string labelFileName = @"C:\Users\user\source\Repos\NumberRecognitionNN\Neural Network\Neural Network\t10k-labels.idx1-ubyte"; byte[] imageFile = File.ReadAllBytes(imageFileName); byte[] labelFile = File.ReadAllBytes(labelFileName); NeuralNetwork network = NeuralNetwork.Load(location); int imagesIndex = 16; int labelIndex = 8; int totalImage = 0; int totalCorrect = 0; while (imagesIndex < imageFile.Length) { double[] imageFeed = new double[784]; for (int i = 0; i < 784; i++) { imageFeed[i] = (imageFile[imagesIndex]) / 256.0; imagesIndex++; } //imageFeedPrint(imageFeed); network.Feed(imageFeed); //network.printNeuralNetwork(); int answer = labelFile[labelIndex]; int guess = getIndexOfMax(network.getOutput()); Console.Write("answer " + answer + " guess " + guess + "\n"); if (answer == guess) { totalCorrect++; } totalImage++; labelIndex++; } Console.Write("\n" + totalCorrect + "/" + totalImage + "\n"); }