Hands-On Generative Adversarial Networks with PyTorch

Quiz: Building Our First GAN with PyTorch

Test your understanding of GAN construction by building and training a DCGAN model with PyTorch. Learn the architecture and latent vector relationships using datasets such as MNIST, CelebA, and LSUN.

We'll cover the following...

Test your understanding

1.Getting Started

2.Generative Adversarial Networks Fundamentals

3.Best Practices for Model Design and Training

4.Building Our 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 GANs to Break Different Models

9.Image Generation from Description Text

10.Sequence Synthesis with GANs

11.Reconstructing 3D Models with GANs

12.Concluding Remarks

13.Appendix

Quiz: Building Our First GAN with PyTorch