About the Build Better Generative Adversarial Networks category

Course Q&A Generative Adversarial Networks (GANS) Build Better Generative Adversarial Networks
1

Welcome to course 2 of Generative Adversarial Networks.

In this course, you will:

  • Assess the challenges of evaluating GANs and compare different generative models
  • Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs
  • Identify sources of bias and the ways to detect it in GANs
  • Learn and implement the techniques associated with the state-of-the-art StyleGANs

Please feel free to search for a topic that you’re interested in or start one of your own if you don’t find what you are looking for!

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