TensorFlow, Google’s contribution to the world of machine learning and data science, is a general framework for quickly developing neural networks.

Despite being relatively new, TensorFlow has already found wide adoption as a common platform for such work, thanks to its powerful abstractions and ease of use.[ Go deep into machine learning at InfoWorld: 11 must-have machine learning tools. • 13 frameworks for mastering machine learning • Machine learning pipelines demystified • Review: 6 machine learning clouds • Which Spark machine learning API should you use? ]
TensorFlow 1.4 API additions
TensorFlow Keras API
The biggest changes in TensorFlow 1.4 involve two key additions to the core TensorFlow API.

The tf.keras API allows users to employ the Keras API, a neural network library that predates TensorFlow but is quickly being displaced by it.

The tf.keras API allows software using Keras to be transitioned to TensorFlow, either by using the Keras interface permanently, or as a prelude to the software being reworked to use TensorFlow natively.To read this article in full, please click here

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