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Related Questions
- What are the key benefits of using transfer learning in machine learning model development?
- How can pre-trained models be fine-tuned for specific tasks to improve model performance?
- What are some common applications of transfer learning in computer vision and natural language processing?
- Can you explain the concept of domain adaptation and how it relates to transfer learning?
- What are the potential drawbacks of using pre-trained models as initializations, and how can they be mitigated?
- How does transfer learning compare to other techniques, such as multi-task learning and meta-learning?
- Can you provide an example of a real-world scenario where transfer learning was successfully employed to solve a complex problem?
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