What are some examples of transfer learning in AI?

What are some examples of transfer learning in AI?

Transfer learning is when a model trained on one task is adapted for another task. For example, using a model trained on ImageNet to classify medical images.

Can you give me more specific examples?

Sure! One example is using BERT, a language model trained on a large corpus, for sentiment analysis in a specific domain.

How does transfer learning improve performance?

It improves performance by leveraging knowledge from a related task, reducing the amount of data needed for training and speeding up the process.

Are there any limitations to transfer learning?

Yes, transfer learning can struggle if the source and target tasks are too different, leading to poor performance.