Instruction: Explain the concept of transferability, the factors that affect it, and its implications for Transfer Learning.
Context: Candidates must explain how the transferability of features across layers influences the effectiveness of Transfer Learning, showcasing their understanding of deep learning architectures.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd explain it in an interview is this: Transferability matters because different layers tend to learn different kinds of features. Earlier layers often capture general patterns that transfer well across related tasks, while later layers become...