수렴 (기계학습)
- 2024-10-21 (modified: 2024-10-22)
- 별칭: Convergence, 수렴
A state reached when loss values change very little or not at all with each iteration. A model converges when additional training won’t improve the model. In deep model, loss values sometimes stay constant or nearly so for many iterations before finally descending. During a long period of constant loss values, you may temporarily get a false sense of convergence.1
See also early stopping.