What's new with TensorFlow 1.x?
The APIs in TensorFlow 1.0 have changed in ways that are not all backward-compatible. That is, TensorFlow programs that worked on TensorFlow 0.x won't necessarily work on TensorFlow 1.x. These API changes have been made to ensure an internally-consistent API. In other words, Google does not have any plans to make TensorFlow backwards-breaking changes throughout the 1.x lifecycle.
In the latest TensorFlow 1.x version, Python APIs resemble NumPy more closely. This has made the current version more stable for array-based computation. Two experimental APIs for Java and GO have been introduced too. This is very good news for the Java and GO programmer.
A new tool called TensorFlow Debugger (tfdbg) has been introduced. ...
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