adversarial-deep-learning.github.io

Website for the book Adversarial Deep Learning, powered by jekyll

Requirements

Install jekyll's CLI, based on your operating system, from here

To run the website locally:

bundle install
bundle exec jekyll serve

Navigate to http://localhost:4000 on your browser.

Pull requests are welcome, but make sure the following criteria are satisfied:

If you are (possibly) breaking an existing feature, state this explicitly in the PR description.
Commit messages should be in present tense, descriptive and relevant, closely following the GNOME Commit Message Guidelines.
Adding tags to the message is optional (for now). Commits should not have git tags unless they indicate a version change.
Documentation should be updated when the API is modified.
All required status checks must pass. Barring exceptional cases, relevant tests should be added/updated whenever necessary.
Barring exceptional cases, Codacy should not report any new issues.
Follow the general style of the project. Badly written or undocumented code might be rejected.
If you are proposing a modifications to an existing one, create an issue first, explaining why it is useful.
Join the slack channel for discussion SAiDL Season Of Code 2021
Be nice!

For more information about the project's setup, please read CONTRIBUTING.md, ⭐ us if you liked the work.