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Glossary: Deep Learning Basics

Weight decay

Also written: weight_decay

Shrinks every weight a little toward zero at each step, so only weights the data keeps pushing on stay large. It is the network version of the penalty in ML Basics' logistic regression.

Where the book teaches it

Related terms

AdamWRegularization