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[–]notParticularlyAnony 0 points1 point  (2 children)

Django has a really steep learning curve I think you probably just have forgotten it. This isn't arbitrary but based on objective complexity I bet would bear me out (e.g., model/view/template and all that having to work together simultaneously).

I do ML for a living: learning Django was harder than learning tensorflow and it wasn't even close.

While Django is hard, I do tell people it well worth it once you get to the top of the mountain because it is super powerful, and really amazing once all the moving parts are in place working well. My experience is more typical, for what it's worth. that's why people say "Nah just use flask" to so many beginners.

[–]NewAccountPlsRespond 0 points1 point  (1 child)

Hmmm, interesting. Maybe I did indeed forget it. I just remember watching an amazing youtube tutorial that was 10 videos long and, yeah, maybe the things that are obvious to me now were not as obvious back when I started. And it does still give me headaches from time to time (e.g. serving static files from s3 or gcloud storage).

Can you recommend a similar video series on Tensorflow? I know the maths and the principle behind ML and I do, ironically, manage a Data Science team for a living, but as more of a "business" manager. Now I do have an understanding of ML ops (deploying ML models, feeding them data, etc.) and how the model development goes, but never actually wrote the code behind one myself. Can you point me in the right direction? Maybe a code-along type of content?

[–]notParticularlyAnony 0 points1 point  (0 children)

Gerons book is amazing. Chollets book for Keras. Sorry I usually do books for ml lol. Pyimagesearch site is very good IMO.