GANs.in.Action.2019

Table of Contents

• Chapter 1: Introduction to GANs
• Chapter 2: Autoencoders as a Path to GANs
• Chapter 3: Your First GAN: Generating Handwritten Digits
• Chapter 4: Deep Convolutional GAN (DCGAN)
• Chapter 5: Training and Common Challenges: GANing for Success
• 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
• GANs.in.Action.2019.12.pdf
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