Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
much variance. 1.1 L² Parameter Regularization Here, we have the following parameter norm penalty: Applying the 2nd order Taylor-Series approximation (ignoring all terms of order greater than 2 in the Taylor-Series expansion) at the point w* (where J̃(θ; X, y) assumes the minimum value, i.e., ∇J̃