PASS CMU DEEP LEARNING COURSE TOGETHER

Taking together
CMU 11-785 Introduction to Deep Learning
(Unofficial Community-supported study)

What is the purpose
of this initiative?

Carnegie Mellon University offers 11-785 Introduction to Deep Learning course in Fall 2019 semester. Video lectures are in the public domain. Professor Bhiksha Raj kindly agreed to share course homeworks with online community in parallel. This initiative is free to all participants and is built on enthusiasm of several people.
How it works
1
Sign up for github
We configured authorization through Github
2
Join the course
Register for the course through your GitHub account
3
Subscribe to one of the social networks
4
Listen to lectures and complete assignments
Links to lectures and assignments will appear in the personal account and in social networks
What should I expect?
Video Lectures
Video Lectures from CMU auditoriums
CMU Autolab
Homeworks automatically graded in Autolab
Kaggle competitions
Do not just solve problems, but also compete
Course discussions
Course discussions on Reddit (en) and
ODS Slack (ru)
Personal Account
You can see a list of lectures, presentations, tests and homework
Love and Fun
This is a non-profit initiative, we want to make the world a little bit better
Join the course
Registration is done through GitHub. If you do not have an account on GitHub, first register https://github.com/join