Machine Learning, Neural Networks, Statistics, Data Science, AI.
complexity-representing term. In the case of L² regularization in neural networks, the term is simply the squared Euclidean norm ² of the weight matrix of the hidden layer (or the sum of all such squared norms, in the case of multiple hidden layers, and including the output layer) of the network.