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Anecdotally, I've dumped TensorFlow in favor of PyTorch for almost all new work I'm doing at my organization (industry focused). Biggest gripes with TensorFlow are overly complex APIs, instability from release to release, constantly broken code in Google's repos, and poor documentation. Maybe TF 2.0 will be better, but for me, the PyTorch ship has already sailed, and I am sailing on it.



TF2 still seems pretty beta to us, honestly. There were things that were pretty easy to do in TF1 that are close to impossible as is in TF2.




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