This “loss term” is also unclear. Are there any less scientific terms for the explanation? | by Anatoli Babenia | Medium

Anatoli Babenia

Nov 6, 2017

1 min read

Regularization — 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 Networks

Mate Labs

This “loss term” is also unclear. Are there any less scientific terms for the explanation?

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