Book Content
chapters • 10h24m total length
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
