Instruction: Discuss the role of feature extractors and how you would choose or design one for a specific transfer learning project.
Context: This question delves into the technical specifics of how transfer learning models understand and utilize features from pre-trained models.
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The way I'd explain it in an interview is this: Feature extractors are important because they let you reuse the pretrained model's learned representations without updating the full network. In many transfer-learning setups, especially with limited data, the pretrained backbone...