{"id":6390,"date":"2016-06-14T07:00:03","date_gmt":"2016-06-14T15:00:03","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=6390"},"modified":"2016-05-10T07:37:37","modified_gmt":"2016-05-10T15:37:37","slug":"machine-learning-googles-open-source-tensorflow-platform-targets-deep-learning","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/machine-learning-googles-open-source-tensorflow-platform-targets-deep-learning\/","title":{"rendered":"Machine Learning: Google’s Open-Source TensorFlow Platform Targets Deep Learning"},"content":{"rendered":"

In November 2015, a group within Google called ‘Google Brain’ introduced an open-source API called TensorFlow <\/a>for numerical computing and managing deep learning and artificial intelligence tasks like speech and image recognition. \u00a0TensorFlow can be deployed on anywhere from one to a distributed set of CPUs or GPUs.<\/p>\n

Matthew Zeiler<\/a>, founder of AI service Clarifai, said that<\/a>\u00a0“Neural nets are getting used everywhere these days…\u00a0Deep learning is a huge opportunity right now because it enables developers to create applications in a way that was never possible before. Neural networks are a new way of programming computers \u2026 It\u2019s a new way of handling data.\u201d<\/p>\n

With TensorFlow, tasks are broken down into a dataflow-graph representation. \u00a0The nodes of the graph represent CPUs or GPUs that perform the computations. \u00a0The edges of the graph represent the flow of the data between the nodes. \u00a0The data is organized as large multidimensional arrays or tensors that flow into and out of the processing nodes, which is the reason for the name ‘TensorFlow’. \u00a0TensorFlow itself is written in C++, but processing at the nodes is performed in Python.<\/p>\n

Greg Corrado<\/a>, a senior search scientist at Google, said that <\/a>“machine learning is the secret sauce for the products of tomorrow. \u00a0It no longer makes sense to have separate tools for researchers to use machine learning and people who are developing real product. There should be one set of tools that researchers can use to try out their crazy ideas. And if those ideas work they can move them directly into products without having to rewrite them.”<\/p>\n

Michael A. Cusumano<\/a>, a professor at MIT, told the New York Times<\/a> that “the software itself is open source, but if this is successful, it will feed Google\u2019s money-making machine. \u00a0There are so many applications of machine learning to the bread and butter of what Google does.”<\/p>\n

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In November 2015, a group within Google called ‘Google Brain’ introduced an open-source API called TensorFlow for numerical computing and managing deep learning and artificial intelligence tasks like speech and image recognition. \u00a0TensorFlow can be deployed on anywhere from one…<\/span><\/p>\n

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