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Generative Adversarial Networks Projects

You're reading from   Generative Adversarial Networks Projects Build next-generation generative models using TensorFlow and Keras

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789136678
Length 316 pages
Edition 1st Edition
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Author (1):
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Kailash Ahirwar Kailash Ahirwar
Author Profile Icon Kailash Ahirwar
Kailash Ahirwar
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Generative Adversarial Networks FREE CHAPTER 2. 3D-GAN - Generating Shapes Using GANs 3. Face Aging Using Conditional GAN 4. Generating Anime Characters Using DCGANs 5. Using SRGANs to Generate Photo-Realistic Images 6. StackGAN - Text to Photo-Realistic Image Synthesis 7. CycleGAN - Turn Paintings into Photos 8. Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks 9. Predicting the Future of GANs 10. Other Books You May Enjoy

Potential future applications of GANs

The future of GANs is bright! There are several areas in which I think it is likely that GANs will be used in the near future:

  • Creating infographics from text
  • Generating website designs
  • Compressing data
  • Drug discovery and development
  • Generating text
  • Generating music

Creating infographics from text

Designing infographics is a lengthy process. It takes hours of labor and requires specific skills. In marketing and social promotions, infographics work like a charm; they are the main ingredient of social media marketing. Sometimes, due to the lengthy process of creation, companies have to settle with a less effective strategy. AI and GANs can help designers in the creative process.

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