List of Tables

Chapter 1. Introduction to GANs

Table 1.1. Generator and Discriminator subnetworks

Chapter 3. Your first GAN: Generating handwritten digits

Table 3.1. Confusion matrix of Discriminator outcomes

Chapter 5. Training and common challenges: GANing for success

Table 5.1. Summary of loss functions

Chapter 6. Progressing with GANs

Table 6.1. Use of normalization techniques in GANs

Chapter 7. Semi-Supervised GAN

Table 7.1. SGAN Generator and Discriminator networks

Chapter 8. Conditional GAN

Table 8.1. CGAN Generator and Discriminator networks

Chapter 9. CycleGAN

Table 9.1. Losses

Table 9.2. Networks

Chapter 10. Adversarial examples

Table 10.1. Original image predictions

Table 10.2. Adversarial image predictions