Machine Learning, Neural Networks, Statistics, Data Science, AI.
error) and minimizing the sum of the squares of the weights.” Indeed, L² regularization and weight decay regularization are equivalent for standard stochastic gradient descent (when rescaled by the learning rate). This is not necessarily true for all gradient-based learning algorithms, and was