/// <summary>
/// Test for provided digit
/// </summary>
/// <returns>Object containing test results</returns>
public TestResult Test(Digit digit)
{
List <float> networkOutput = network.Run(digit.DigitPixels);
float max = networkOutput.Max();
int indexOfMax = networkOutput.IndexOf(max);
return(new TestResult {
Label = digit.Label.ToString(), ClassifiedAs = indexOfMax.ToString(), Correct = digit.Label == indexOfMax
});
}
/// <summary>
/// Trains network with use of provided digit
/// </summary>
/// <returns></returns>
public TrainingResult Train(Digit digit)
{
List <float> expectedOutput = GetExpectedOutput(digit.Label);
List <float> actualOutput = network.Run(digit.DigitPixels);
List <float> nextLayerDeltas, currentLayerDeltas;
List <Layer> layers = network.GetLayers();
nextLayerDeltas = GetLastLayerDeltas(expectedOutput, actualOutput, layers.Last());
for (int i = layers.Count - 2; i >= 0; i--)
{
currentLayerDeltas = GetCurrentDeltas(layers[i], layers[i + 1], nextLayerDeltas);
UpdateWeights(layers[i + 1], nextLayerDeltas);
nextLayerDeltas = currentLayerDeltas;
}
UpdateWeights(layers[0], nextLayerDeltas);
return(new TrainingResult(expectedOutput, actualOutput));
}