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Related Questions
- What are the primary benefits of transfer learning in deep learning models?
- How does pre-training a model on a large dataset impact its ability to learn from smaller datasets?
- What are some common applications of transfer learning in computer vision and natural language processing?
- Can you explain the concept of domain adaptation and its relationship to transfer learning?
- How does the choice of pre-training task and dataset affect the performance of a transfer learning model?
- What are some potential drawbacks or limitations of transfer learning, and how can they be mitigated?
- How can transfer learning be used to improve the performance of a model on a specific task, such as image classification or sentiment analysis?
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