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You are here: Home ▶ Uncategorized ▶ Hands-On Generative Adversarial Networks with PyTorch 1.x

Hands-On Generative Adversarial Networks with PyTorch 1.x

December 3, 2021

Hands-On Generative Adversarial Networks with PyTorch 1.x

Hands-On Generative Adversarial Networks with PyTorch 1.x highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.(Limited-time offer)

 

Table of Contents

  • Section 1: Introduction to GANs and PyTorch
  • Generative Adversarial Networks Fundamentals
  • Getting Started with PyTorch 1.3
  • Best Practices for Model Design and Training
  • Section 2: Typical GAN Models for Image Synthesis
  • Building Your First GAN with PyTorch
  • Generating Images Based on Label Information
  • Image-to-Image Translation and Its Applications
  • Image Restoration with GANs
  • Training Your GANs to Break Different Models
  • Image Generation from Description Text
  • Sequence Synthesis with GANs
  • Reconstructing 3D models with GANs

Download Free PDF / Read Online

Author(s): John Hany , Greg Walters
Publisher: Packt Publishing
Published: December 2019
Format(s): Online
File size: –
Number of pages: 312
Download / View Link(s): This offer has ended.
Free as of 12/03/2021.

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