What are some real-world examples of transfer learning?

What are some real-world examples of transfer learning?

Transfer learning is widely used in various fields. For instance, in image recognition, models pre-trained on large datasets like ImageNet can be fine-tuned for specific tasks such as medical image analysis.

Can you give me another example?

Sure! In natural language processing, models like BERT and GPT are pre-trained on vast text corpora and can be adapted for specific tasks like sentiment analysis or chatbots.

How does transfer learning improve model performance?

Transfer learning improves performance by leveraging knowledge from pre-trained models, reducing the need for large datasets and training time for new tasks.

Are there any limitations to transfer learning?

Yes, transfer learning can be limited by domain differences. If the source and target tasks are too dissimilar, the performance may not improve.