juniorModel Evaluation
What is a loss function?
Updated May 17, 2026
Short answer
A loss function measures prediction error.
Deep explanation
It quantifies difference between predicted and actual values and guides optimization.
Real-world example
Used in neural networks to improve predictions.
Common mistakes
- Confusing loss with evaluation metrics.
Follow-up questions
- What is MSE?
- Why differentiate loss?