📚 node [[regularization]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Regularization.md by @KGBicheno
regularization
Go back to the [[AI Glossary]]
The penalty on a model's complexity. Regularization helps prevent overfitting. Different kinds of regularization include:
L1 regularization
L2 regularization
dropout regularization
early stopping (this is not a formal regularization method, but can effectively limit overfitting)
📖 stoas
- public document at doc.anagora.org/regularization
- video call at meet.jit.si/regularization
⥅ related node [[l1_regularization]]
⥅ related node [[l2_regularization]]
⥅ related node [[regularization_rate]]
⥅ related node [[ridge_regularization]]
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