A guy from Google Brain came over to a Capital One meetup and talked at length about the `autograph` module; check it out! I remember they did some neat things with extending Python's operator overloading in order to generate Tensorflow graph code.

Couldn't find anything about it, but does anyone know if it supports Python 3.7 yet? Just messed around with TF yesterday on a Windows dev box, and the version downgrade shuffle was annoying.

Are the changes between ~1.13 and 2.0 finalized yet? Last I checked they were still in flux, outside of a few blog posts which state that config defaults changed: https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0...

Biggest change for me is it seems like there's more of an incentive to use tf.keras instead of external Keras, for simplicity.

Can someone summarize the changes between 1.13 and 2.0? Given the major version increment, I'd assume there's a major paradigm shift.

Is the source code available for this 2.0 preview? I'd like to look at whatever changes there are in the C++ API.

What's interesting about Google is, they can have open source products that are hated a big % of devs (Angular) and something that doesn't have that problem (Tensorflow).

I wonder what's the underlying issue behind this disparity. Wonder if it the teams themselves behind those products...