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Is there any difference between them, in terms of stability, which one is more recent etc. Additionally, what should I expect in the coming months, a beta version? and then final release?
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Project descriptionOriginally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
tf-nightly-gpu 2.11. 0. dev20221012 TensorFlow is an open source machine learning framework for everyone.
Tensorflow 2.0 alpha is the Tensorflow 2.0 alpha version released on the Tensorflow dev summit 2019 day. Its API is "stable" (that means, it doesn't change every day), although it is explicitly an alpha version, hence something can't work as you expect.
The nightly builds, instead, are builds created daily with the changes occurring on the master branch of the Tensorflow repo. The API changes often (e.g. 2 days ago the symbol tf.mod was a thing, now it is present only in tf.math.mod) and is more "unstable" then the alpha itself.
In the coming months... who knows. The first release candidate was planned for "spring" 2019 - but spring is a flexible concept (quote from Martin Wicke - "Spring is a sort of flexible concept").
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