juniorCost Function
What is Huber loss?
Updated May 15, 2026
Short answer
Huber loss combines MSE and MAE for robustness and smoothness.
Deep explanation
It behaves like MSE for small errors and MAE for large errors, balancing sensitivity and robustness.
Real-world example
Used in autonomous driving systems for sensor noise handling.
Common mistakes
- Incorrectly choosing delta threshold.
Follow-up questions
- Why combine MAE and MSE?
- Where is it commonly used?