수렴 (기계학습)
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.