public void Train(object sender, DoWorkEventArgs e)
{
InitNetwork();
List <List <Sample> > batches = FormBatches();
Stopwatch totalTime = new Stopwatch();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
totalTime.Start();
ErrorTimeline.Add(TotalError);
_eta = Eta;
while (!Stop && !ForcedStop && TotalError > DesiredError && Iter++ < IterationLimit && totalTime.Elapsed.TotalSeconds < TimeLimit)
{
if (Iter % EtaChangePeriod == 0)
{
_eta -= _eta / 20;
}
Backpropagation(batches);
Evaluate();
ErrorTimeline.Add(TotalError);
if (stopwatch.Elapsed.TotalSeconds < RefreshRate)
{
continue;
}
UpdateInfo(_panel, _iter, _error, this);
stopwatch.Restart();
}
e.Result = ForcedStop;
}
public void ResetTraining()
{
TotalError = 0;
Iter = 0;
ErrorTimeline.Clear();
if (_architecture is null)
{
return;
}
for (int i = 0; i < NumberOfLayers; i++)
{
_layers[i].ResetLayer();
}
}
