📚 node [[l1_loss]]

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
⥱ context