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TensorFlow shines a light on deep learning

[vc_row][vc_column][vc_column_text]Google’s open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs

What makes Google Google? Arguably it is machine intelligence, along with a vast sea of data to apply it to. While you may never have as much data to process as Google does, you can use the very same machine learning and neural network library as Google. That library, TensorFlow, was developed by the Google Brain team over the past several years and released to open source in November 2015.

TensorFlow does computation using data flow graphs. Google uses TensorFlow internally for many of its products, both in its datacenters and on mobile devices. For example, the Translate, Maps, and Google apps all use TensorFlow-based neural networks running on our smartphones. And TensorFlow underpins the applied machine learning APIs for Google Cloud Natural Language, Speech, Translate, and Vision. [/vc_column_text][/vc_column][/vc_row]

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