private void LearnProcess(Field.BufferField teacher)
{
Layers[Layers.Count - 1].property.Output.DifferenceOf(teacher, ref Layers[Layers.Count - 1].property.Sigma);
for (int i = Layers.Count - 1; i >= 0; i--)
{
Layers[i].Back();
}
}
private void InferenceProcess(Field.BufferField input)
{
input.CopyTo(Layers[0].property.Input);
for (int i = 0; i < Layers.Count; i++)
{
Layers[i].Forward();
}
}
protected void RandomNoize(ref Field.BufferField f, double noize, Random random)
{
for (int c = 0; c < f.Channels; c++)
{
for (int i = 0; i < f.Width; i++)
{
for (int j = 0; j < f.Height; j++)
{
f.Buffer[c][i, j] += (random.NextDouble() * 2 - 1) * noize;
}
}
}
}
public void Learn(Field.BufferField input, Field.BufferField teacher)
{
InferenceProcess(input);
LearnProcess(teacher);
}
