What are the implications of using very deep pre-trained models for Transfer Learning?
Instruction: Discuss the potential benefits and drawbacks of applying deep pre-trained models to new tasks.
Context: Candidates must weigh the complexity and capabilities of deep models against computational resources and task specificity, showing their strategic thinking in model selection.
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Very deep pretrained models can provide strong representations, but they also increase cost, memory pressure, latency, and the risk of overfitting...
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