
Hands-On Generative Adversarial Networks with PyTorch 1.x
Implement next-generation neural networks to build powerful GAN models using Python
Publisher:Packt Publishing Limited
By: John Hany and Greg Walters
Paid access
|Sep 2024Table of Contents
- Generative Adversarial Networks Fundamentals
- Getting Started with PyTorch 1.3
- Best Practices for Model Design and Training
- 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
PDF ISBN: 978-1-78953-428-3
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 312
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