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Related Questions
- What is the primary goal of transfer learning in machine learning?
- Can you provide an example of how transfer learning can be applied to address covariate shift in image classification tasks?
- How does pre-training a model on a large dataset help in improving its performance on a new task with different distribution?
- What are some common techniques used to fine-tune a pre-trained model for a specific task?
- In what ways can transfer learning be used to address the problem of covariate shift in natural language processing tasks?
- How does transfer learning help in reducing the need for large amounts of labeled data for a specific task?
- Can you explain the concept of domain adaptation and how transfer learning can be used to address the problem of covariate shift in this context?
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