When should I use transfer learning in my projects?

When should I use transfer learning in my projects?

Transfer learning is useful when you have limited data for your specific task but can leverage a pre-trained model.

Can you give me an example of when it would be beneficial?

Sure! If you're working on a medical image classification task but have few labeled images, using a model pre-trained on a large dataset can help.

What types of models are best for transfer learning?

Convolutional Neural Networks (CNNs) are commonly used for image tasks, while models like BERT are great for NLP tasks.

Are there any downsides to using transfer learning?

Yes, transfer learning can lead to overfitting if the pre-trained model is too complex for your small dataset.