GLOSSARY TERM
What is Weight Decay?
A regularization technique penalizing large weights to prevent model overfitting.
Weight decay adds an L2 penalty to the loss function, mathematically driving unused or overly dominant parameters toward zero. This forces the model to distribute its learned representations evenly, resulting in superior generalization.
Enforce Generalization
Automate critical mathematical regularizations strictly within TacTech MLOps.