public BackpropagationLayer(Backpropagation parent, FeedforwardLayer layer)
{
this.parent = parent;
this.layer = layer;
error = new double[layer.NeuronCount];
errorDelta = new double[layer.NeuronCount];
if (layer.Next != null)
{
accumulatedMatrixDelta = new Matrix(layer.NeuronCount + 1, layer.Next.NeuronCount);
previousMatrixDelta = new Matrix(layer.NeuronCount + 1, layer.Next.NeuronCount);
biasRow = layer.NeuronCount;
}
}
public void Learn(double learnRate, double momentum)
{
if (layer.HasMatrix)
{
previousMatrixDelta = (accumulatedMatrixDelta * learnRate) + (previousMatrixDelta * momentum);
layer.LayerMatrix = layer.LayerMatrix.Add(previousMatrixDelta);
accumulatedMatrixDelta.Clear();
}
}
public void Learn(double learnRate, double momentum)
{
if (_layer.HasMatrix)
{
_previousMatrixDelta = (_accumulatedMatrixDelta * learnRate) + (_previousMatrixDelta * momentum);
_layer.LayerMatrix = _layer.LayerMatrix.Add(_previousMatrixDelta);
_accumulatedMatrixDelta.Clear();
}
}