E-Book, Englisch, 312 Seiten
Hany / Walters Hands-On Generative Adversarial Networks with PyTorch 1.x
1. Auflage 2019
ISBN: 978-1-78953-428-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Implement next-generation neural networks to build powerful GAN models using Python
E-Book, Englisch, 312 Seiten
ISBN: 978-1-78953-428-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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Table 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




