What are some common transfer learning models?

What are some common transfer learning models used in AI?

Some popular transfer learning models include BERT, ResNet, and VGG. Would you like to know more about any specific model?

Can you explain how BERT works in transfer learning?

BERT, or Bidirectional Encoder Representations from Transformers, uses a transformer architecture to understand context in language. It pre-trains on a large corpus and can be fine-tuned for specific tasks.

What are the advantages of using transfer learning?

Transfer learning allows for faster training times, requires less data, and can improve performance on tasks with limited labeled data.

Are there any limitations to transfer learning?

Yes, transfer learning can sometimes lead to negative transfer if the source and target tasks are too different, and it may require careful tuning.