static void Main(string[] args)
{
int outnodes = 10;
NeuralNet net = new NeuralNet(false, "SkyNet", 784, 2, 16, outnodes, new string[] { "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" });
Console.WriteLine("Loading data to memory...");
net.LoadToMemory();
int t = 0;
while (true)
{
Console.WriteLine("Test Nr {0}", t);
Console.WriteLine("#############################################");
string dir = @"A:\Media\dfjdh\Visual Studio 2017\Projects\NeuralNetwork\NeuralNetTest\bin\Debug\mnist_jpgfiles\test\mnist_6_559.jpg";
var arr = net.RunImage(dir);
for (int i = 0; i < arr.Length; i++)
{
Console.WriteLine("Output " + i + ": " + arr[i]);
}
Console.WriteLine();
var fl = net.Cost(arr, new float[] { 0, 0, 0, 0, 0, 0, 1, 0, 0, 0 });
Console.WriteLine("Cost: {0}, Grade: {1}", fl, net.Grade(net.GetRating(fl)));
Console.WriteLine("#############################################");
t++;
Console.ReadKey();
}
//16384
//Bitmap bit = new Bitmap("rsz_turnberry_004.jpg");
//var bite = bit.GetPixel(1, 1).B;
//Console.WriteLine(bite.ToString());
}
