Chapter 1. Introduction to GANs
Figure 1.1. Progress in human face generation
Figure 1.2. The two GAN subnetworks, their inputs and outputs, and their interactions
Chapter 2. Intro to generative modeling with autoencoders
Figure 2.4. How computer vision researchers think. Enough said.
Chapter 3. Your first GAN: Generating handwritten digits
Chapter 4. Deep Convolutional GAN
Figure 4.6. A sample of handwritten digits generated by a fully trained DCGAN
Figure 4.7. A sample of handwritten digits generated by the GAN implemented in chapter 3
Chapter 5. Training and common challenges: GANing for success
Figure 5.1. Where do GANs fit in?
Figure 5.2. ACGAN failure mode. Scores on the right indicate the softmax output.
Chapter 6. Progressing with GANs
Chapter 7. Semi-Supervised GAN
Chapter 8. Conditional GAN
Chapter 9. CycleGAN
Chapter 10. Adversarial examples
Chapter 11. Practical applications of GANs
Chapter 12. Looking ahead