Chapter 9. CycleGAN
This chapter covers
- Expanding on the idea of Conditional GANs by conditioning on an entire image
- Exploring one of the most powerful and complex GAN architectures: CycleGAN
- Presenting an object-oriented design of GANs and the architecture of its four main components
- Implementing a CycleGAN to run a conversion of apples to oranges
Finally, a technological breakthrough of almost universal appeal, seeing as everyone seems to love comparing apples to oranges. In this chapter, you will learn how! But this is no small feat, so we will need at least two sets of Discriminators and two Generators to achieve this. That obviously complicates the architecture, so we will have to spend more time discussing it, but at the very least, it ...
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