What are the main challenges in transfer learning?
An example of an AI chatbot conversation about transfer learning challenges.
What are the main challenges in transfer learning?
Some key challenges in transfer learning include domain shift, negative transfer, and data scarcity.
Can you explain what domain shift means?
Domain shift refers to the differences between the source and target domains that can affect model performance.
What is negative transfer?
Negative transfer occurs when knowledge from the source domain hinders performance in the target domain.
How can we mitigate these challenges?
Mitigation strategies include domain adaptation techniques, data augmentation, and careful selection of source tasks.
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