Anatoli BabeniaFollowNov 6, 2017·1 min readRegularization — It is used to overcome the over-fitting problem. In regularization we penalise our loss term by adding a L1 (LASSO) or an L2(Ridge) norm on the weight vector w (it is the vector of the learned…Everything you need to know about Neural Networks4.4K11Mate LabsThis “loss term” is also unclear. Are there any less scientific terms for the explanation?
