Skip to content

Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018

License

Notifications You must be signed in to change notification settings

manuelbre/Reliable-and-Interpretable-AI-Cheatsheet-HS18

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Reliable-and-Interpretable-AI-Cheatsheet-HS18

Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018. This cheatsheet was created by me based on the lecture material and is not an offical document of the class.

The following topics are included:

  • Fast Gradient Sign Method (FGSM)
  • Projected Gradient Descent (PGD)
  • Training Neural Networks with Logic
  • Certify AI with Abstract Domains
  • Visualization of NN
  • Probabilistic Programming

Feel free to report mistakes or fork the repo to update the cheat sheet.

Download the latest pdf version here

About

Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages