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Related Questions
- What are the primary differences between fine-tuning and training a model from scratch?
- How do the training objectives of transfer learning models impact their ability to generalize to new tasks?
- What are the key factors that influence the performance of fine-tuned models in downstream tasks?
- Can you explain the concept of 'domain adaptation' in the context of transfer learning?
- How do the training objectives of transfer learning models affect their ability to capture task-specific features?
- What are the trade-offs between fine-tuning a pre-trained model and training a model from scratch?
- Can you discuss the role of 'transfer learning' in improving the performance of models on specific tasks?
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