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Related Questions
- How do GANs work and what are their key components?
- What are the advantages and limitations of using GANs for data augmentation?
- Can you provide an example of a simple GAN architecture for image data augmentation?
- How do I implement a GAN-based data augmentation pipeline in TensorFlow?
- What are some common techniques for stabilizing GAN training, such as using batch normalization and feature matching?
- Can you explain the concept of mode collapse in GANs and how to mitigate it?
- How do I evaluate the performance of a GAN-based data augmentation model, such as using metrics like inception score or Fréchet inception distance?
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