What are the limitations of transfer learning in AI?

What are the limitations of transfer learning in AI?

Transfer learning can be limited by factors like domain similarity, data quality, and model architecture.

Can you explain how domain similarity affects transfer learning?

Sure! If the source and target domains are too different, the model may not generalize well, leading to poor performance.

What about data quality? How does it impact transfer learning?

Data quality is crucial; noisy or biased data in the source domain can negatively affect the target model's accuracy.

Are there specific scenarios where transfer learning fails?

Yes, transfer learning often fails in highly specialized tasks where the source data doesn't represent the target task well.