December 2020
Intermediate to advanced
306 pages
6h 59m
English
Content preview from Hands-On Image Generation with TensorFlow
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Chapter 6: AI Painter
In this chapter, we are going to look at two generative adversarial networks (GANs) that could be used to generate and edit images interactively; they are iGAN and GauGAN . The iGAN (interactive GAN) was the first network to demonstrate how to use GANs for interactive image editing and transformation, back in 2016. As GANs were still in fancy at that time, the generated image quality was not impressive as that of today's networks, but the door was opened to the incorporation of GANs into mainstream image editing.
In this chapter, you will be introduced to the concepts behind iGANs and some websites that feature video demonstrations of them. There won't be any code in that section. Then, we will go over a more recent award-winning ...
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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.