AI Glossary
Transfer learning
What does “Transfer learning” mean?
Transfer learning: Reusing what a model learned on one task as the starting point for another, instead of training from scratch. Pre-training followed by fine-tuning is the most common form today, and it is why a modest dataset can be enough to build a capable specialized model.
What is an example of “Transfer learning”?
A vision model pre-trained on millions of everyday photos can be adapted to spot defects on a factory line using a few thousand labeled images.