- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course.fast.ai/part2)
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [6.S094: Deep Learning for Self-Driving Cars - MIT](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https://bcourses.berkeley.edu/courses/1453965/pages/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))
@ -606,6 +607,7 @@ Table of Contents
- [Great Ideas in Theoretical Computer Science at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv)
- [Analysis of Boolean Functions at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)