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[D] I’ve been switching over from Pytorch to TF 2.0, and my take is that the library itself isn’t too much of a problem (I’ve heard lots of complaints of TF), the real issue is the lack of official guides, detailed documentation, and lack of question answering from the Tensorflow team.

I feel like I’m trying to create some pipelines that should be fairly common among Tensorflow users. There seems to be multiple ways of doing everything, each method with it’s own nuance, that is not officially documented anywhere. You have to dig around on their github issues and sometimes the info will be there, if you’re lucky.

There’s a lot of unofficial medium blogs out there, but I’ve noticed that often they have inaccurate information. A lot of the times it’s an overseas remote developer creating marketing materials to get hired.

A lot of the design choices I google lead me to unanswered stackoverflow questions, asked several months or a year ago. I think this is the easiest fix. A lot of these unanswered questions are good questions, that are not covered anywhere in Tensorflow’s official documentation.

https://imgs.xkcd.com/comics/wisdom_of_the_ancients.png

I am looking at the backlog of unaswered questions for both. Pytorch has 2,101, Tensorflow has 24,066

Pytorch, on the other hand, has a forum where you often get your questions answered by someone on the Pytorch developers team.

I hear a lot of complains about Tensorflow, but I personally don’t see the structure itself as poor. I think it’s pretty good actually, but what’s the point of creating something awesome if you don’t enough info for people to optimally use it.

submitted by /u/DisastrousProgrammer
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.