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Related Questions
- What are the key benefits of using transfer learning in machine learning?
- Can you explain the concept of pre-trained models and how they are used in transfer learning?
- How do we select a suitable pre-trained model for transfer learning, and what factors should we consider?
- What are some common techniques used to fine-tune pre-trained models for a specific task?
- How does transfer learning improve performance on a new task, and what are the potential risks of over-reliance on pre-trained knowledge?
- Can you provide examples of successful applications of transfer learning in computer vision, natural language processing, and other domains?
- What are some challenges and limitations of transfer learning, and how can we address them in practice?
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