this post was submitted on 25 Nov 2023
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Machine Learning
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Biggest 'advantage' i can see is that, since Google is deprecating tf soon, JAX is the only googly deep learning lib left. It fills a niche, insofar a that is a definable niche. I'm sticking with pytorch for now.
No clue about things like speed/efficiency, which may be a factor.
Do you have a source? IMO TF is too big to deprecate soon. They did stop support for windows, but nobody abandons an enormous project suddenly
TLDR: No, they are not officially planning to deprecate TF. Yes they are still actively developing TF. No, that doesn't fill me with much confidence, coming from Google, especially while they are also developing Jax.
Just searched this again and kudos, I can't find anything but official Google statements that they are continuing support for TF in the foreseeable future. For a while people were doom-saying so confidently that Google is completely dropping TF for JAX that I kinda just took it on blind faith.
All that said: #TF REALLY COULD GET DEPRECATED SOON Despite their insistence that this won't happen, Google is known for deprecating strong projects with bright futures with little/no warning. Do not take the size of Tensorflow as evidence that the Goog is going to stand by it. Especially when they are actively developing a competing product in the niche.
fwiw, it is also the current fad in tech to make high level decisions abruptly without proper warning to engineers. It really does mean almost nothing when a company's engineers are enthusiastically continuing their support of a product.
TF is just not on solid ground.
That could be a valid concern. Personally, not too worried, since this is just a speculation though. Besides, the field is diverse enough that most people would benefit from learning multiple frameworks.