This lesson gives an introduction to deep learning.
The design of this lesson can be found in the lesson design
The main audience of this carpentry lesson is PhD students that have little to no experience with deep learning. In addition, we expect them to know basics of statistics and machine learning.
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of issues for ideas for contributing to this repository.
Please also familiarize yourself with the lesson design
For making your contribution, we use the GitHub flow, which is nicely explained in the
chapter Contributing to a Project
in Pro Git by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are
- Anne Fouilloux
- Florian Huber
- Dafne van Kuppevelt
- Peter Steinbach
- Berend Weel
- Colin Sauze
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION