public double[] Feedforward(double[] x)
{
if (x.Length != InputLayer.Neurons.Count)
{
throw new DataAndInputLayerSizeMismatchException(
"Resize the input layer to match the size of the training data.");
}
for (int d = 0; d < x.Length; d++)
{
(InputLayer.Neurons[d]).Activation = x[d];
}
foreach (HiddenLayer hiddenLayer in HiddenLayers)
{
hiddenLayer.ComputeLayerTrainingOutput();
}
List <double> output = new List <double>();
output.AddRange(OutputLayer.ComputeLayerTrainingOutput());
return(output.ToArray());
}