TensorFlow 1.0 not only brings improvements to the framework’s gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging.

There is a C++ API, but there isn’t half the support for other languages that TensorFlow offers. It’s quite conceivable that PyTorch will overtake TensorFlow within Python.

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library ...

The Python APIs have been redesigned and are now closer in structure to NumPY, which improves stability and simplifies the process of incorporating TensorFlow with existing Python applications ...