public Form1()
{
InitializeComponent();
nn nw = new nn(1.25, new int[] { 2, 2, 1 }, Activation.SIGMOID, "TestNet");
//nw = nw.Load(@"c:\tmp\test_multip.xml");
//nw.SaveImage(@"c:\tmp\nn.jpg");
for (long i = 0; i < 500000; i++)
{
nd outx = nw.OutputDataInt(0);
nd inpx = new nd(0, 0);
nw.Train(inpx, outx, 5);
outx = nw.OutputDataInt(1);
inpx = new nd(0, 1);
nw.Train(inpx, outx, 5);
outx = nw.OutputDataInt(1);
inpx = new nd(1, 0);
nw.Train(inpx, outx, 5);
outx = nw.OutputDataInt(0);
inpx = new nd(1, 1);
nw.Train(inpx, outx, 5);
}
MessageBox.Show("Training rounds so far: " + nw.TrainingRounds.ToString());
// *****************************************************************
nd outp = nw.Run(new nd(1, 1));
MessageBox.Show(outp.BinaryToInt().ToString());
//nw.Save();
}
/// <summary>
/// Extension to NeuralData for quick value conversion toward int
/// </summary>
/// <param name="nd"></param>
/// <returns></returns>
public static int BinaryToInt(this NeuralData nd)
{
return(NeuralData.BinaryToInt(nd.ToArray()));
}
