Fall in love with Julia: Learning deep-learning in Julia 101

Same github repository again: https://github.com/schlichtanders/fall-in-love-with-julia

Hi all,
this introductory series is for you:

• you do Data Science in R, Python, Matlab, Fortran, or whatever?
• you heard about Julia and would like to get to know its simplicity and power?
• you like it high-level AND high-performant?

In this 1.5h session we are going to learn how to do deep-learning in a very intuitive and simple way using Flux.jl, one of Julia's deep-learning frameworks.
Again, as usual in this series, you will get a beginner-friendly hands-on experience using jupyter-notebook, with which you can try out the tools yourself and also experiment further afterwards.

The material will be made available at this github repository https://github.com/schlichtanders/fall-in-love-with-julia, where you can also find the notebook from last time "01 introduction - 01 getting started.ipynb". In case you missed it last time, check it out ;-)

Looking forward to see you all!
Spread the news and invite everyone you know to not miss this Julia 101!
It is going to be online, so everyone from everywhere is highly welcome.

yours,
Stephan Sahm

P.S.: The link to the online tool will be made available 15 min before the actual start. Please join 5 min ahead, the session is going to start on-time, 19:00.