private double LearnExample(Example example) {
Impulse(example.Input);
layers[layers.Length - 1].Diff(example.Output);
for (int i = layers.Length - 2; i >= 0; i--)
layers[i].BackPropagate();
return layers[layers.Length - 1].Error();
}
public static TrainingSet Load(string dataDirectoryPath) {
Example[] examples = new Example[Directory.GetFiles(dataDirectoryPath, "*", SearchOption.AllDirectories).Length];
DirectoryInfo[] dirs = new DirectoryInfo(dataDirectoryPath).GetDirectories();
int targetIndex = 0;
int index = 0;
foreach (DirectoryInfo dir in dirs) {
FileInfo[] files = dir.GetFiles();
foreach (FileInfo file in files)
examples[index++] = new Example(ImageLoader.LoadImage(file.FullName), dirs.Length, targetIndex);
targetIndex++;
}
return new TrainingSet(examples);
}
private TrainingSet(Example[] examples) {
this.examples = examples;
}
private double TestExample(Example example) {
Impulse(example.Input);
layers[layers.Length - 1].Diff(example.Output);
return layers[layers.Length - 1].Error();
}
