📚 node [[l1_loss]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/L1_Loss.md by @KGBicheno
L1 loss
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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
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