Recently released TensorFlow v2.9 introduces a new API for the model, data, and space-parallel (aka spatially tiled) deep network training. DTensor aims to decouple sharding directives from the ...

Higher layers of TensorFlow and the primary TensorFlow API are implemented in Python. In addition to Python, there are APIs in C++, Java, and Go.

Over the years, TensorFlow has evolved from its beginnings as a machine learning and neural network library based on data flow graphs that had a high learning curve and a low-level API.

Google have also included a Keras compatibility API, allowing TensorFlow to work with this high level neural networks library.

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers.