public void Train(params double[] inputs)
{
int i = 0;
InputLayer.ForEach(a => a.Value = inputs[i++]);
HiddenLayer.ForEach(a => a.CalculateValue());
OutputLayer.ForEach(a => a.CalculateValue());
}
private void ForwardPropagate(params double[] inputs)
{
var i = 0;
InputLayer.ForEach(a => a.Value = inputs[i++]);
HiddenLayer.ForEach(a => a.CalculateValue());
OutputLayer.ForEach(a => a.CalculateValue());
}
public void BackPropagate(params double[] targets)
{
int i = 0;
OutputLayer.ForEach(a => a.CalculateGradient(targets[i++]));
HiddenLayer.ForEach(a => a.CalculateGradient());
HiddenLayer.ForEach(a => a.UpdateWeights(LearnRate, Momentum));
OutputLayer.ForEach(a => a.UpdateWeights(LearnRate, Momentum));
}