Generative Adversarial Networks and TF-GAN - ML Tech Talks

Explore Generative Adversarial Networks (GANs) and the TF-GAN library in this comprehensive Machine Learning Tech Talk. Dive into the world of GANs with Research Engineer Joel Shor as he explains this innovative machine learning technique and demonstrates how TF-GAN simplifies the training and evaluation process. Begin with captivating demos from Google, then progress through a detailed explanation of GANs, their applications, and practical uses. Delve into advanced topics such as metrics and self-attention GANs. Conclude with guidance on getting started with GANs and TF-GAN. Access additional resources including project pages, research papers, and interactive Colab notebooks to further enhance your understanding and implementation of GANs.

- Introduction
- Demos from Google
- What is a GAN?
- What are GANs good for?
- Deep dive: Metrics
- Deep dive: Self-attention GAN
- How to get started