May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Summary
In this chapter, we learned about the challenges faced while training GANs and how to address them. We also learned some tips and tricks that we can utilize while training GANs. We then looked at various GAN model architectures and what they are used for. Finally, we learned about a number of algorithms used in GANs, along with their implementation details.
In the next chapter, we will look at how to synthesize images using GANs.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.