public void ProcessError(Vector error)
{
Matrix weightUpdate = error.Times(lastInput.Transpose());
layer.AcceptNewWeightUpdate(weightUpdate);
Vector biasUpdate = layer.GetBiasVector().Plus(error);
layer.AcceptNewBiasUpdate(biasUpdate);
}
public static Matrix CalculateWeightUpdates(LayerSensitivity layerSensitivity,
Vector previousLayerActivationOrInput,
double alpha)
{
Layer layer = layerSensitivity.GetLayer();
Matrix activationTranspose = previousLayerActivationOrInput.Transpose();
Matrix weightUpdateMatrix
= layerSensitivity.GetSensitivityMatrix()
.Times(activationTranspose)
.Times(alpha)
.Times(-1.0);
layer.AcceptNewWeightUpdate(weightUpdateMatrix.Copy());
return(weightUpdateMatrix);
}
public Matrix CalculateWeightUpdates(LayerSensitivity layerSensitivity,
Vector previousLayerActivationOrInput,
double alpha,
double momentum)
{
Layer layer = layerSensitivity.GetLayer();
Matrix activationTranspose = previousLayerActivationOrInput.Transpose();
Matrix momentumLessUpdate
= layerSensitivity.GetSensitivityMatrix()
.Times(activationTranspose)
.Times(alpha)
.Times(-1.0);
Matrix updateWithMomentum
= layer.GetLastWeightUpdateMatrix()
.Times(momentum)
.Plus(momentumLessUpdate.Times(1.0 - momentum));
layer.AcceptNewWeightUpdate(updateWithMomentum.Copy());
return(updateWithMomentum);
}
