What are some examples of transfer learning models?

What are some examples of transfer learning models?

Transfer learning models include BERT for NLP, ResNet for image classification, and GPT for text generation.

How does BERT utilize transfer learning?

BERT is pre-trained on a large corpus and fine-tuned on specific tasks, allowing it to understand context better.

Can you explain how ResNet works in transfer learning?

ResNet uses residual connections to allow gradients to flow through the network, making it easier to train deep models.

What are the benefits of using transfer learning?

Benefits include reduced training time, improved performance on small datasets, and leveraging pre-trained models.

Are there any limitations to transfer learning?

Yes, limitations include domain mismatch, overfitting on small datasets, and the need for careful fine-tuning.