📕 subnode [[@KGBicheno/l1_regularization]]
in 📚 node [[l1_regularization]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/L1_Regularization.md by @KGBicheno
L1 regularization
Go back to the [[AI Glossary]]
A type of regularization that penalizes weights in proportion to the sum of the absolute values of the weights. In models relying on sparse features, L1 regularization helps drive the weights of irrelevant or barely relevant features to exactly 0, which removes those features from the model. Contrast with L2 regularization.
📖 stoas
- public document at doc.anagora.org/l1_regularization
- video call at meet.jit.si/l1_regularization