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Related Questions
- What are the key factors that determine the effectiveness of transfer learning in a large dataset?
- Can smaller domain datasets hinder the performance of transfer learning models, and if so, why?
- How does the similarity between the source and target domains impact the transfer learning process?
- What are the trade-offs between the size of the target domain dataset and the complexity of the model architecture?
- Can a small target domain dataset be sufficient for transfer learning if the source domain dataset is large and diverse?
- How does the quality of the source domain dataset influence the effectiveness of transfer learning in a small target domain dataset?
- Are there any specific metrics or techniques that can help evaluate the effectiveness of transfer learning in a dataset of varying sizes?
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