4 no-bull takeaways about Google’s machine learning project

It’s easy to look at TensorFlow, Google’s freshly open-sourced machine learning project that aims to smarten our apps, and make headline-grabbing predictions that border on creepy. But there’s much more to the project, which is part of a growing ecosystem of open source machine learning systems fed by data at scale. [ Also on InfoWorld: Download the quick guide to Google Go today. | Keep up with hot topics in programming with InfoWorld’s Application Development newsletter. ]Here are four reasons why TensorFlow is worthy of attention. 1. It’s the next generation of Google’s in-house machine learning system As outlined in Google CEO Sundar Pichai’s blog post, TensorFlow was built for the same reason as many other open source solutions released by Google: To solve at scale internal problems with Google’s machine learning…


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