What are some effective transfer learning techniques?

What are some effective transfer learning techniques?

Transfer learning techniques include fine-tuning, feature extraction, and domain adaptation.

Can you explain fine-tuning in more detail?

Fine-tuning involves taking a pre-trained model and training it further on a new dataset to improve performance.

What types of models are commonly used for transfer learning?

Common models include BERT for NLP tasks and ResNet for image classification.

Are there any specific applications where transfer learning is particularly useful?

Yes, it's especially useful in scenarios with limited data, like medical imaging or natural language processing.