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Related Questions
- What are the limitations of high-capacity models in terms of generalization?
- Can low-capacity models be more robust in certain scenarios?
- How does model capacity relate to overfitting and underfitting?
- Are there any specific architectures that can handle low-capacity models effectively?
- Can high-capacity models be prone to overfitting, even with regularization techniques?
- How does the capacity of a model impact its ability to learn from small datasets?
- Are there any theoretical or empirical studies that compare the generalization performance of high-capacity and low-capacity models?
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