📕 subnode [[@KGBicheno/l1_loss]]
in 📚 node [[l1_loss]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/L1_Loss.md by @KGBicheno
L1 loss
Go back to the [[AI Glossary]]
Loss function based on the absolute value of the difference between the values that a model is predicting and the actual values of the labels. L1 loss is less sensitive to outliers than L2 loss.
📖 stoas
- public document at doc.anagora.org/l1_loss
- video call at meet.jit.si/l1_loss