| public acceptNewWeightUpdate ( Matrix weightUpdate ) : void | ||
| weightUpdate | Matrix | |
| return | void | |
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);
}
