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");
}
