Weight Decay
Concept
A regularization technique used in neural networks to prevent overfitting by adding a penalty to the loss function that is proportional to the magnitude of the weights.
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Videos Mentioning Weight Decay
Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
Lex Fridman
A regularization technique used in neural networks to prevent overfitting by adding a penalty to the loss function that is proportional to the magnitude of the weights.
Foundations of Deep Learning (Hugo Larochelle, Twitter)
Lex Fridman
A term often used interchangeably with L2 regularization, which penalizes large weights.
Inference, Diffusion, World Models, and More | YC Paper Club
Y Combinator
A regularization technique used to improve model performance in data-constrained settings, with significantly higher values used than in compute-optimal pre-training.