Jan Van de Poel

1 minute read

4 March 2018
Updated the table of contents to reflect latest updates:
-Split Datasets and models into separate sections
-Added a “Python Libraries” section for non-DL specific, yet useful Python libs”

Exploring Deep Learning, you find lots and lots of resources both on- and offline and to keep track of those I have started to collect all the things I encounter in one place. You can find the overview on Github.

Here is the current table of contents:

  1. Online Courses
  2. Online Courses
  3. Free Online Books
  4. Online Videos
  5. Papers
  6. Frameworks
  7. Python Libraries
  8. Heros
  9. Datasets
  10. models
  11. Conferences
  12. Communities
  13. Blogs
  14. Jupyter notebooks
  15. Build your own DL Machine
  16. Infrastructure
  17. Resources from courses
  18. Playgrounds
  19. Miscellaneous

If you want to add interesting stuff or even an entire topic/category, just let me know jan@zerotosingularity.com, zerotosingularity or create a pull request on Github.

Looking forward to hearing from you!