Definition
Transfer learning is the idea of reusing knowledge learned from one dataset or task to perform well on another task with less data. It explains why pretrained models can adapt quickly.
転移学習
Definition
Transfer learning is the idea of reusing knowledge learned from one dataset or task to perform well on another task with less data. It explains why pretrained models can adapt quickly.