What are some examples of transfer learning in AI?
Transfer learning involves taking a pre-trained model and fine-tuning it for a specific task. For example, using a model trained on ImageNet to classify medical images.
Can you give me another example?
Sure! In natural language processing, models like BERT are pre-trained on large text corpora and can be fine-tuned for tasks like sentiment analysis.
What are the benefits of using transfer learning?
The main benefits include reduced training time, improved performance on small datasets, and leveraging existing knowledge from related tasks.
Are there any limitations to transfer learning?
Yes, limitations include the risk of negative transfer if the source and target tasks are too different, and the need for careful model selection.
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