public void TestNetwork(MNistImage[] images, CancellationToken cancellation)
{
Debug.AssertNotNull(images);
Debug.AssertNotNull(cancellation);
if (_statRefresher != null && _statRefresher.Started) return;
_cancelTrainToken = cancellation;
var normalImages = new NormalizedImage[images.Length];
for (var i = 0; i < images.Length; i++)
{
normalImages[i] = new NormalizedImage(images[i]);
normalImages[i].PadCanvas(Network.InputImageWidth, Network.InputImageHeight);
}
_testInfoBuffer.Clear();
_imageProcessed = 0;
_errors.Clear();
_totalMSE = 0.0;
_statRefresher = new ActionRepeater(PrintTestingInfo, 1000.0);
_statRefresher.Start(false);
TestProcess(normalImages);
_statRefresher.Stop(true);
History = txtStatistics.Text;
}
public void TrainNetwork(MNistImage[] images, CancellationToken cancellation)
{
Debug.AssertNotNull(images);
Debug.Assert(cancellation != null);
if (_statRefresher != null && _statRefresher.Started) return;
_cancelTrainToken = cancellation;
var normalImages = new NormalizedImage[images.Length];
for (var i = 0; i < images.Length; i++)
normalImages[i] = new NormalizedImage(images[i]);
_statRefresher = new ActionRepeater(PrintTrainingInfo, 1000.0);
_statRefresher.Start(false);
TrainProcess(normalImages);
_statRefresher.Stop(true);
History = txtStatistics.Text;
}