📕 subnode [[@KGBicheno/interpretability]]
in 📚 node [[interpretability]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Interpretability.md by @KGBicheno
interpretability
Go back to the [[AI Glossary]]
The degree to which a model's predictions can be readily explained. Deep models are often non-interpretable; that is, a deep model's different layers can be hard to decipher. By contrast, linear regression models and wide models are typically far more interpretable.
📖 stoas
- public document at doc.anagora.org/interpretability
- video call at meet.jit.si/interpretability