What is the significance of 'feature extractors' in Transfer Learning?
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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Feature extractors are important because they let you reuse the pretrained model's learned representations without updating the full network...