Does anyone have ideas for what to do after the course? Some kind of program that include deep learning? Any other resources for people that are familiar with the topics in this class?
Preferably we can keep this to jobs/programs not specifically requiring PhDs.
Great question. Iād love to hear what others will do after the course / what options there are!
I will join https://fellowship.ai, which is a four-month machine learning fellowship.
I donāt have a PhD (or a CS or math degree) and can say that doing the fast.ai courses helped me a lot to get accepted!
Build your own ML projects. At some point itās good to stop doing courses (or at least take a break) and start doing some projects of your own, from scratch. Youāll learn a lot more that way than just taking a course passively.
Itās an amazing dive into the cutting edge uses of deep learning in art and includes a lot of labs and projects that are at a similar level to previous iterations of part 2. There are some really cool projects and ideas in there.
In case you missed it, a new free Udacity course āSecure & Private AIā was announced today.
Iām definitely keen on this one, Iāve been following Andrew Trask and PySyft for a while and think itās a pretty interesting project with a very important and challenging goal. Iām frankly sceptical about the maturity/quality of the toolset but Iām keen to find out whether itās good, and think itāll likely be a good overview of the field anyway. Plus itās in python and pytorch which we know.
I like this! Thank you Even! Are you interested in generative design tools? Iām wondering about the generative design tools that companies like Autodesk are developing, and this course looks like a really good introduction to this thought process.
That looks like a great challenge! Iād love to get involved in more āAI for social goodā things because I guess that if you really think about the social good AI / DL can do, thereās still a world of opportunities to be explored. Thank you for sharing!
Building your own projects and working on things you are passionate about has to be the best way of consolidating what you have learned with FastAI and building a deeper understanding.