public double CalculateGradient(double?x = null)
{
if (x == null)
{
return(Gradient = Exit.Sum(y => y.ExitNeuron.Gradient * y.Weight) * Sigmoid.DerivativeSigmoid(Value));
}
return(Gradient = CalculateError(x.Value) * Sigmoid.DerivativeSigmoid(Value));
}
public virtual double CalculateEntry()
{
return(Value = Sigmoid.CalculateSigmoid(Entry.Sum(x => x.Weight * x.EntryNeuron.Value) + Bias));
}
