Transfer learning

lastmod 2022-02-21created 2021-05-213 edits

Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars can be applied when trying to recognize trucks.

See also

• Deep learning

Favorite site

• Wikipedia (en) Transfer learning
• Transfer Learning｜Applying a trained model to a new project :: Jeina, De'vLog