public void BackWard(Array <float> values)
{
var DE = _errorFunction.Error(_target.OutputVector, values);
var DO = _activationFunction.Derivate(_target.SumVector);
_target.ErrorVector = DE * DO;
_target.ErrorWeightVector = NumMath.SumLine(_target.ErrorVector.W * _target.KnowlodgeMatrix);
}
public double GetLoss(List <List <List <double> > > TargetData)
{
double loss = 0;
for (int i = 0; i < TargetData.Count; i++)
{
//正向計算結果
double output = this.Forward(TrainData[i][0].ToArray())[0];
loss += errorFunction.Error(output, TrainData[i][1][0]);
}
return(loss / TargetData.Count);
}