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Related Questions
- What are the primary causes of training instability in GANs, and how do they contribute to overfitting?
- How do different optimization algorithms, such as Adam and SGD, impact the stability and overfitting of GANs?
- What are the key hyperparameters that influence the trade-off between training stability and overfitting prevention in GANs?
- How can batch normalization and other regularization techniques be used to improve the stability and generalization of GANs?
- What is the role of data augmentation in preventing overfitting in GANs, and how can it be effectively implemented?
- Can you discuss the impact of model capacity and architecture on the trade-off between training stability and overfitting in GANs?
- How can latent space regularization and other techniques be used to improve the quality and diversity of generated samples in GANs, while preventing overfitting?
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