static void Main(string[] args)
{
var neural_net = new Neural_Net(784, new [] { 100, 60, 30, 10 }, 25, 1.5, 15.0);
var Tester = new Net_Test(neural_net);
int best = -10000;
string _continue = "y";
while (_continue == "y" || _continue == string.Empty)
{
int c1 = 0;
int c2 = 0;
for (int i = 0; i < 40; i++)
{
Stopwatch sw = new Stopwatch();
sw.Start();
Tester.Epoch_Train();
sw.Stop();
Console.WriteLine(sw.Elapsed.TotalSeconds);
sw.Reset();
sw.Start();
c1 = Tester.Validate();
sw.Stop();
Console.WriteLine(sw.Elapsed.TotalSeconds);
if (c1 > c2)
{
neural_net.Shrink_Training_Speed();
}
if (c1 > best)
{
best = c1;
}
c2 = c1;
}
Console.WriteLine("The best run was correct in {0}% of validation cases.", (10000 + (float)best) / (float)100);
Console.WriteLine("COntinue: y or n?");
_continue = Console.ReadLine();
}
Console.WriteLine("test pass");
Console.ReadLine();
}
public Net_Test(Neural_Net net)
{
_net = net;
}
