What are some real-life applications of transfer learning in AI?

What are some real-life applications of transfer learning in AI?

Transfer learning is widely used in various fields. For instance, in healthcare, it helps in diagnosing diseases from medical images by leveraging pre-trained models.

Can you give me more examples in different industries?

Sure! In finance, transfer learning is used for fraud detection by adapting models trained on one type of transaction to another. In natural language processing, it powers chatbots and translation services.

How does transfer learning improve model performance?

Transfer learning improves performance by allowing models to leverage knowledge from previously learned tasks, reducing the need for large datasets and training time.

Are there any challenges associated with transfer learning?

Yes, challenges include domain mismatch, where the source and target tasks differ significantly, and the risk of overfitting if the target dataset is too small.