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Related Questions
- What are the key differences between pre-trained models and fine-tuning in transfer learning?
- How does transfer learning help to improve the performance of deep learning-based recommendation systems?
- What are the primary advantages of using transfer learning in deep learning-based recommendation systems over training models from scratch?
- Can you provide examples of pre-trained models that are commonly used in recommendation systems and their applications?
- How does transfer learning adapt to the specific task or domain of the recommendation system?
- What are some common challenges that arise when applying transfer learning in deep learning-based recommendation systems?
- Can you explain the concept of feature reuse in the context of transfer learning and recommendation systems?
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