What are the types of transfer learning?

What are the different types of transfer learning?

Transfer learning can be categorized into three main types: inductive, transductive, and unsupervised transfer learning.

Can you explain inductive transfer learning?

Inductive transfer learning involves transferring knowledge from a source task to a different but related target task, often with labeled data.

What about transductive transfer learning?

Transductive transfer learning focuses on transferring knowledge from a source domain to a target domain, typically using unlabeled data.

And what is unsupervised transfer learning?

Unsupervised transfer learning aims to leverage knowledge from a source domain to improve learning in a target domain without labeled data.