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Related Questions
- What is the primary goal of transfer learning in machine learning?
- In what ways can data augmentation enhance the performance of a model pre-trained with transfer learning?
- How does the choice of pre-trained model affect the effectiveness of transfer learning in conjunction with data augmentation?
- What are some common techniques used for data augmentation in transfer learning?
- Can you provide an example of a scenario where transfer learning and data augmentation are particularly useful?
- How does transfer learning with data augmentation compare to training a model from scratch?
- What are some potential drawbacks of using transfer learning with data augmentation in machine learning?
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