Question: What is transfer learning, and how is it used in deep learning?Answer: Transfer learning is a technique where a pre-trained model on a large dataset is adapted for a different but related task. It allows leveraging knowledge gained from one domain to improve performance in another, often with smaller amounts of task-specific data. |
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