Google uses it for a variety of tasks such as speech recognition in the Google app to search in Google Photos. Google says it’s releasing TensorFlow to “accelerate research on machine learning”, but also points out in the video above that it’s built to make the move from research “directly into products without having to rewrite code”.
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TensorFlow is a machine learning library created by the Brain Team researchers at Google and now open sourced under the Apache License 2.0.
Here’s a short post from Google in English explaining TensorFlow, and one in geek, if you read it, from Jeff Dean, head of Google’s deep- learning efforts.
Google is escalating the latest arms race in Silicon Valley: artificial intelligence.
Which brings me to the second reason the announcement is important: By making TensorFlow’s code open-source, Google is opening the door for companies and computer scientists around the world to implement cutting-edge machine-learning algorithms in their own products and research. The search gaint has also been using an artificial intelligence programme called “RankBrain” to help determine the pecking order in its influential internet search results. Any application that requires researchers to make sense of extremely complex data sets, like protein folding and crunching astronomical data, can benefit from TensorFlow as well, Google’s CEO added. The new system is said to be five times faster than Google’s current machine learning system, and can run on a single smartphone or literally thousands of computers.
Pichai asserts that machine learning remains very much in its infancy, now at sub-4-year-old levels.
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As the season of giving is almost upon us, Google is open-sourcing TensorFlow so the entire machine-learning community can play with it. Students, researchers, hobbyists, hackers, engineers, developers, innovators, and inventors are encouraged to build upon the existing program framework, provide feedback, and contribute to the source code. Google should be credited as it has made the software open source, a network allowing everyone to have a crack at improving it and take it to the next level. And you can get started quickly with powerful machine learning tech by using our state-of-the-art example model architectures.
