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Related Questions
- What are the primary benefits of using transfer learning in machine learning?
- How does pre-training on a large dataset impact the performance of a model on a new task?
- Can you explain the concept of 'domain adaptation' in the context of transfer learning?
- What are some common techniques used to fine-tune a pre-trained model for a new task?
- How does the size of the pre-training dataset affect the performance of a model on a new task?
- Can you discuss the trade-offs between using a pre-trained model and training a model from scratch?
- What are some real-world applications of transfer learning in computer vision and natural language processing?
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