What is Transfer Learning?

What is Transfer Learning?

Approach: Explain using a pre-trained model on a new, related task.

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 (e.g., using a model trained on ImageNet to identify medical images).

Follow-up: Why is it efficient for small datasets?

Key concepts: pre-training, fine-tuning, domain adaptation.