index.md

Deep Learning Do It Yourself!

\blurb{ This site collects resources to learn Deep Learning in the form of Modules available through the sidebar on the left. As a student, you can walk through the modules at your own pace and interact with others thanks to the associated digital platforms. Then we hope you'll become a contributor by adding modules to this site! }

Curators

Marc Lelarge, Jill-Jênn Vie, Andrei Bursuc

For students

Pre-requisites:

• Mathematics: basics of linear algebra, probability, differential calculus and optimization
• Programming: basic proficiency Python

Annotation tool

• hypothes.is allows you to annotate this website and the web in general. You'll find some hints for the practicals here!

Social interactions

• Discord: discussion (we encourage you to hang out here during class!)
• Forum: discussion

For contributors

Join the GitHub repo dataflowr/website and make a pull request. What are pull requests?

Evaluation

Materials from this site is used for courses at ENS and X. To validate these courses, please connect to the appropriate moodle:

• ENS Moodle: (ENS and affiliated students)
• X Moodle: (X and affiliated students)

<img src="/assets/ENS_logo.jpg" style="width: 400px; height: auto; display: inline">
<img src="/assets/X_logo.png" style="margin-left:1em; width: 180px; height: auto; display: inline">