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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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Generative Adversarial Networks Cookbook
Josh Kalin

ISBN: 9781789139907

  • Structure a GAN architecture in pseudocode
  • Understand the common architecture for each of the GAN models you will build
  • Implement different GAN architectures in TensorFlow and Keras
  • Use different datasets to enable neural network functionality in GAN models
  • Combine different GAN models and learn how to fine-tune them
  • Produce a model that can take 2D images and produce 3D models
  • Develop a GAN to do style transfer with Pix2Pix

Python Deep Learning - Second Edition
Ivan Vasilev et al.

ISBN: 9781789348460

  • Grasp the mathematical theory behind neural networks and deep learning processes
  • Investigate and resolve computer vision challenges using convolutional networks and capsule networks
  • Solve generative tasks...
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