private static void Test(NeuralNetwork nn, int tests = -1)
{
tests = tests == -1 ? testing.Count : tests;
tests = Math.Min(testing.Count, tests);
int score = 0;
for (int i = 0; i < tests; i++)
{
Console.WriteLine($"Starting Test {i}/{tests}");
MnistEntry entry = testing[i];
NNFeedData inputData = new NNFeedData(3, 5, ConvertArray(entry.Image));
NNFeedData outputData = nn.FeedForward(inputData);
(int label, float value)guess = ArrayToLabel(outputData.CopyData());
if (guess.label == entry.Label)
{
score++;
}
Console.WriteLine($"{entry.Label} | {guess.label} ({guess.value:F2})");
}
Console.WriteLine($"{score}/{tests}");
}
internal override NNDetailedFeedData FeedForward(NNFeedData input)
{
if (input.Width != Width || input.Height != Height || input.Depth != Depth)
{
throw new ArgumentOutOfRangeException(nameof(input));
}
float[] output = input.CopyData();
return(new NNDetailedFeedData(this, output, output));
}
