May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Text-to-Image Synthesis with GANs
In this chapter, you will learn how to implement Generative Adversarial Text-to-image Synthesis, which is a model that generates plausible images from detailed text descriptions. You will learn about the matching-aware discriminator, manifold interpolation, and how to invert the generator for style transfer.
The following topics will be covered in this chapter:
- Text-to-image Synthesis
- Experimental setup
- Model implementation
- Improving the baseline model
- Inference
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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.