public static void simple_portable(vnn nn)
{
//var tr = new trainerModern(nn);
var tr = new trainerNoMomentum(nn);
var tset = data.DataSets.twoParamTest;
Stopwatch sw = Stopwatch.StartNew();
const double ACCRATE = 0.05;
for (int i = 0; i < 500; i++)
{
//tr.TrainEpoch(tset.inputs, tset.outputs, 0.1, 0.9);
for (int j = 0, to = tset.size; j < to; j++)
{
tr.TrainOne(tset.inputs[j], tset.outputs[j], 0.1);
}
}
var acc = tset.getAccuracy(nn, ACCRATE);
// if (acc < 0.9) { throw new Exception($"Not enought accuracy: {acc.ToString("N2")}"); }
WriteLine("Elapsed = " + sw.ElapsedMilliseconds + " ms.");
WriteLine($"Accuracy (+-{ACCRATE}) = {acc.ToString("N2")}");
WriteLine("Random MSE = " + tset.getRandomMSE(nn, 500));
}
public void backpropagate(GameLog game)
{
lock (locker) { nncopy.CopyFrom(nn); }
int[] idx = Enumerable.Range(0, game.ALog.Count + game.BLog.Count).ToArray();
GameEngine.rng.ShuffleRandomly(idx);
double[] desired = new double[1];
double[] inputs;
for (int i = 0, to = game.ALog.Count + game.BLog.Count, alen = game.ALog.Count; i < to; i++)
{
int index = idx[i];
if (index < alen)
{
inputs = game.ALog[index];
desired[0] = game.AWon.Value ? 1 : 0;
}
else
{
inputs = game.BLog[index - alen];
desired[0] = game.AWon.Value ? 0 : 1;
}
tr.TrainOne(inputs, desired, learningRate);
}
lock (locker) { nn.CopyFrom(nncopy); }
}
void TrainingLoop()
{
while (true)
{
while (Pause)
{
Thread.Sleep(1);
}
if (End)
{
return;
}
lock (prog.TestingLock)
{
if (GetNextGame(stream, len, out var inp, out var res))
{
tr.TrainOne(inp, res, 0.05);
n++;
}
