If you have been interested in learning about practical Deep Learning, it’s very likely that you have already stumbled upon the free courses offered by fast.ai.
They are very practical, prepared for developers who are willing to learn about the basics of Deep Learning and then apply that knowledge practically in their software projects.
One thing that I found recently is the deck of Anki cards that you can import prepared for version 4 of the course in Anki.
Anki is a really helpful application that helps you learn new things using spaced repetition via flash cards.
Although some of the questions that I saw from this deck were a bit too specific, you can still test your knowledge that you have acquired while watching the course, or reading the accompanying book.
You can find a text file with the cards that have been prepared so far on GitHub and then import them on Anki.
Even though you may not go through a formal interview having the same exact questions that are included in this deck, it’s still worth having them as a way of recalling what you have learned while watching the course.
Here is the link to the GitHub repository.
As it is open source, you can of course modify it and submit pull requests with the changes that you think are worth being included in the repository.
I hope you find this useful.
