Google launches its new smart machine learning system: TensorFlow
Google have build and launched a new machine learning system called "TensorFlow." TensorFlow is a highly scalable machine learning system which can be run on either a smartphone of across thousands of computers in datacenters. It will allow Google to train neural nets up to five times faster meaning they can use it to improve products more quickly. Google believe that TensorFlow can be valuable to others outside of Google, so its has also launched open-sourcing TensorFlow. 

Just a couple of years ago, you couldn’t talk to the Google app through the noise of a city sidewalk, or read a sign in Russian using Google Translate, or instantly find pictures of your Labradoodle in Google Photos. Our apps just weren’t smart enough. But in a short amount of time they've gotten much, much smarter. Now, thanks to machine learning, you can do all those things pretty easily, and a lot more. But even with all the progress we've made with machine learning, it could still work much better.

So we’ve built an entirely new machine learning system, which we call “TensorFlow.” TensorFlow is faster, smarter, and more flexible than our old system, so it can be adapted much more easily to new products and research. It’s a highly scalable machine learning system—it can run on a single smartphone or across thousands of computers in datacenters. We use TensorFlow for everything from speech recognition in the Google app, to Smart Reply in Inbox, to search in Google Photos. It allows us to build and train neural nets up to five times faster than our first-generation system, so we can use it to improve our products much more quickly.

