Awesome stuff, but please let's not pretend that tmux is an important piece of the applied deep learning puzzle that needs to have anything to do with the intensiveness of the course.
I apologise if that's how my response came across. what I was trying to express is that I wish to show what I believe are best practices, and these tools are used throughout the course. I do not mean to suggest that tmux is critical, or that there are not other good options.
Personally I enjoy seeing how others setup and use their tools, and feel it is underappreciated in many courses; attempting to fill that gap is a little of my particular bias.
> Personally I enjoy seeing how others setup and use their tools, and feel it is underappreciated in many courses
Interesting - that explains a lot, thanks. Sorry to say, but I for one hate courses / tutorials where the tutor tries to force me to use his/her pet technology, totally unrelated to the topic at hand. I have always wondered what made them do it, and I guess they just want to help.
Still, if you want to be helpful, show me this favorite tech of yours and optionally point me to a separate resource for learning it, I might check it out sometime. But I didn't come here to learn tmux, I came for deep learning. My time is precious so please don't waste it. I would understand if you wanted to teach me basics of TensorFlow (and TensorBoard) or similar, but tmux, vi, emacs, bash,... are all outside the scope. IMHO of course. :)
Personally I enjoy seeing how others setup and use their tools, and feel it is underappreciated in many courses; attempting to fill that gap is a little of my particular bias.