What are the benefits of transfer learning in AI?

What are the benefits of transfer learning in AI?

Transfer learning allows models to leverage knowledge from one task to improve performance on another, saving time and resources.

Can you give me an example of how transfer learning is used?

Sure! For instance, a model trained on a large dataset for image recognition can be fine-tuned for a specific task like medical image analysis.

Does transfer learning require a lot of data?

Not necessarily! Transfer learning is particularly useful when you have limited data for the target task, as it builds on pre-existing knowledge.

What are some common applications of transfer learning?

Common applications include natural language processing, computer vision, and speech recognition, where pre-trained models are adapted for specific tasks.