AI & MLCoreAIML-CLS-008
Cross-Entropy Loss
One loss for distributions: cross-entropy generalizes log-loss to many classes.
- Difficulty
- 1 / 5
- Importance
- 5 / 5
- Study time
- 1–2 h
- Kind of work
- Mixed
Why it matters
The learner can compute cross-entropy for a tiny prediction and link it to binary log-loss and likelihood.