/// <summary>
/// Backpropagate all neurons of the network starting from this layer.
/// </summary>
public void RecursiveTrainCurrentPattern()
{
TrainCurrentPattern();
if (_sourceLayer != null)
{
_sourceLayer.RecursiveTrainCurrentPattern();
}
}
/// <summary>
/// Backpropagate the network.
/// </summary>
/// <param name="calculateBefore">Propagate the network before backpropagation (recommended).</param>
/// <param name="calculateAfter">Propagate the network after backpropagation.</param>
public void TrainCurrentPattern(bool calculateBefore, bool calculateAfter)
{
if (calculateBefore)
{
CalculateFeedforward();
}
_lastLayer.RecursiveTrainCurrentPattern();
if (calculateAfter)
{
CalculateFeedforward();
}
}
