Introduction to deep learning

This lesson gives an introduction to deep learning.

Teaching this lesson?

Do you want to teach deep learning? This material is open-source and freely available. Are you planning on using our material in your teaching? We would love to help you prepare to teach the lesson and receive feedback on how it could be further improved, based on your experience in the workshop.

You can notify us that you plan to teach this lesson by creating an issue in this repository or by sending an email to [email protected]. Also, it would great if you can update this overview of all workshops taught with this lesson material. This helps us show the impact of developing open-source lessons to our funders.

Lesson Design

The design of this lesson can be found in the lesson design

Target Audience

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.

Lesson development sprints

We regularly host lesson development sprints, in which we work together at the lesson. The next one is scheduled for the 13th and 14th of January 2025. We kickoff with an online meeting at 10:00 CEST. If you want to join (you are very welcome to join even if you have never contributed so far) send an email to [email protected] .

Contributing

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 . This indicates that the maintainers will welcome a pull request fixing this issue.

Setup the Workshop Website locally

To build this lesson locally, you should follow the setup instructions for the workbench. In short, make sure you have R, Git, and Pandoc installed, open R and use the following commands to install/update the packages needed for the infrastructure:

# register the repositories for The Carpentries and CRAN
options(repos = c(
  carpentries = "https://carpentries.r-universe.dev/",
  CRAN = "https://cran.rstudio.com/"
))

# Install the template packages to your R library
install.packages(c("sandpaper", "varnish", "pegboard", "tinkr"))

Rendering the website locally

See the Carpentries Workbench usage instructions on how to render the website locally.

Maintainer(s)

Current maintainers of this lesson are

• Peter Steinbach
• Colin Sauze
• Djura Smits
• Sven van der Burg
• Pranav Chandramouli
• Carsten Schnober

Citation and authors

To cite this lesson, please consult with CITATION.cff. This also holds a list of contributors to the lesson.