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GANs in Action by Jakub Langr, Vladimir Bok

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Chapter 6. Progressing with GANs

This chapter covers

  • Progressively growing Discriminator and Generator networks throughout training
  • Making training more stable, and the output more varied and of higher quality and resolution
  • Using TFHub, a new central repository for models and TensorFlow code

In this chapter, we provide a hands-on tutorial to build a Progressive GAN by using TensorFlow and the newly released TensorFlow Hub (TFHub). The Progressive GAN (aka PGGAN, or ProGAN) is a cutting-edge technique that has managed to generate full-HD photorealistic images. Presented at one of the top machine learning conferences, the International Conference on Learning Representations (ICLR) in 2018, this technique made such a splash that Google immediately ...

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