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.

It’s more production-ready than ever: TensorFlow 1.0 promises Python API stability (details here), making it easier to pick up new features without worrying about breaking your existing code.

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.

Google has used TensorFlow for the past year for a variety of applications. For example, Google Photos is scary good at search because it uses TensorFlow to recognize places based on popular ...