private void StartTraining()
{
TrainingSettings settings = new TrainingSettings
{
Layers = textBoxLayers.Text.Split(',').Select(v => int.Parse(v)).ToArray(),
Epoches = (int)numericEpoches.Value,
LearningRate = (double)numericLearningRate.Value,
Momentum = (double)numericMomentum.Value
};
progressBarTraining.Maximum = settings.Epoches;
labelMeanSquareError.Text = $"{double.PositiveInfinity}";
labelAccuracy.Text = string.Empty;
labelEpoch.Text = string.Empty;
buttonTrained.Enabled = false;
tabControl1.SelectedIndex = 1;
workerTrain.RunWorkerAsync(settings);
}
private void Training(TrainingSettings settings)
{
var trainingData = TicTacToeValueLoader.LoadAllUniqueStates(Storage.Instance, TicTacToeValueNetwork.DefaultInputTransform);
var trainer = new TicTacToeValueNetworkTrainer(trainingData, 0)
{
HiddenLayerSizes = settings.Layers,
LearingRate = settings.LearningRate,
Momentum = settings.Momentum,
};
TrainedNetwork = trainer.Train(settings.Epoches, new TrainingMonitor(this));
Invoke((MethodInvoker) delegate()
{
var accuracy = AccuracyMonitor.CalculateAccuracy(TrainedNetwork, trainingData);
labelAccuracy.Text = $"{accuracy.CorrectPredictions}/{accuracy.TestingSetSize} ({accuracy.Value * 100.0:f2}%)";
buttonTrained.Enabled = true;
});
}