Google Brain announced release 1.0 of its machine learning (ML) library yesterday at the TensorFlow Developer Summit in Mountain View. ML is a method of programing computers with data to make highly reliable predictions, instead of creating a program in a language like Java, C# or Python.
ML is a more efficient method of solving problems such as image recognition, language translation and ranking things like comments and recommendations. Google, along with Facebook, IBM and Microsoft has used ML internally to solve problems like ranking search results.
A little over a year ago Google released TensorFlow based on its experience with its proprietary ML library, DistBelief. TensorFlow is in use within Google with about 4,000 source code directories including TensorFlow model description files. It is used in many applications including Google Search, Maps and Gmail’s spam filter.
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Source: News Feed