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