Translations:Transfer Learning/1/en

Transfer learning is a machine learning technique in which a model trained on one task is reused as the starting point for a model on a different but related task. By leveraging knowledge acquired from large-scale pretraining, transfer learning dramatically reduces the amount of labelled data, compute, and training time required for downstream applications.