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Related Questions
- What are the key differences between fine-tuning and feature extraction in transfer learning?
- How does pre-training on a large dataset help to reduce the risk of overfitting in complex datasets?
- Can you explain the concept of domain adaptation and how it relates to transfer learning?
- In what ways does transfer learning help to alleviate the curse of dimensionality in high-dimensional datasets?
- How does the choice of pre-training task impact the performance of a transfer learning model?
- What are some common techniques used to adapt pre-trained models to new tasks and datasets?
- Can you discuss the trade-offs between using pre-trained models and training models from scratch in complex datasets?
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