juniorPyTorch
What are loss functions in PyTorch?
Updated May 17, 2026
Short answer
Loss functions measure prediction error.
Deep explanation
They compute a scalar value representing difference between predictions and targets.
Real-world example
Used in regression and classification tasks.
Common mistakes
- Using wrong loss for task type.
Follow-up questions
- When to use CrossEntropyLoss?
- What is reduction in loss?