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Hands-On Generative Adversarial Networks with PyTorch 1.x Cover

Hands-On Generative Adversarial Networks with PyTorch 1.x

Implement next-generation neural networks to build powerful GAN models using Python

Paid access
|Dec 2019
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Table of Contents

  1. Generative Adversarial Networks Fundamentals
  2. Getting Started with PyTorch 1.3
  3. Best Practices for Model Design and Training
  4. Building Your First GAN with PyTorch
  5. Generating Images Based on Label Information
  6. Image-to-Image Translation and Its Applications
  7. Image Restoration with GANs
  8. Training Your GANs to Break Different Models
  9. Image Generation from Description Text
  10. Sequence Synthesis with GANs
  11. Reconstructing 3D models with GANs
PDF ISBN: 978-1-78953-428-3
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 312