Reading Assignment 6: Generative Adversarial Networks (GANs)

Probabilistic Machine Learning: Advanced Topics – Chapter 25 up to (including) Section 25.3

Former Reading Assignment (optional)

• Chapter 20.10.4 on Generative Adversarial Networks
• Ian Goodfellow’s NIPS 2016 Tutorial: Generative Adversarial Networks - Video
• Understanding Generative Adversarial Networks (GANs) by Joseph Rocca
• Paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGANs)

Optional Further Reading

• The original Paper by Ian Goodfellow et al.
• Generative Adversarial Nets in TensorFlow
• Generative Adversarial Networks for beginners