public void ForwardPass(Matrix targetValues)
{
foreach (AffineLayer layer in AffineLayers())
{
layer.ForwardPass();
}
LossLayer.ForwardPass(targetValues);
}
public void BackwardPass(Matrix targetValues)
{
LinkedListNode <Layer> curLayer = _layers.Last;
LossLayer lossLayer = (LossLayer)curLayer.Value;
lossLayer.ComputeLossGradients(targetValues);
while (true)
{
curLayer = curLayer.Previous;
if (curLayer == null)
{
break;
}
curLayer.Value.BackwardPass();
}
}
public Model(int inputsCount, ActivationType inputActivationType, int outputsCount, ActivationType outputActivationType, CostType costType)
{
var inputLayer = new AffineLayer(inputsCount, inputActivationType);
_layers.AddFirst(inputLayer);
inputLayer.SetListNode(_layers.First);
var outputLayer = new AffineLayer(outputsCount, outputActivationType);
_layers.AddLast(outputLayer);
outputLayer.SetListNode(_layers.Last);
LossLayer = new LossLayer(costType, outputsCount);
_layers.AddLast(LossLayer);
LossLayer.SetListNode(_layers.Last);
UpdateLayersIds();
}
