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, reducing training time.

Can you give me an example of how it's used in real-world applications?

Sure! It's commonly used in image recognition, where a model trained on a large dataset can be fine-tuned for a specific task.

Does it require a lot of data to be effective?

Not necessarily! Transfer learning can be effective even with limited data, as it builds on pre-existing knowledge.

What are some challenges associated with transfer learning?

Challenges include domain mismatch and overfitting, especially if the source and target tasks are too different.