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Item Information   Holdings     Summary     More Content       More by this author     Sejnowski, Terrence J. (Terrence Joseph), author.     Subjects     Deep learning (Machine learning)     Machine learning.     Big data.     Artificial intelligence -- Social aspects.     Browse Catalog     by author:      Sejnowski, Terrence J. (Terrence Joseph), author.       by title:      The deep learning re...         MARC Display

The deep learning revolution / Terrence J. Sejnowski. by Sejnowski, Terrence J. (Terrence Joseph), author. Cambridge, Massachusetts : The MIT Press, [2018] Subjects Deep learning (Machine learning)   Machine learning.   Big data.   Artificial intelligence -- Social aspects. ISBN:  9780262038034 (hardcover ; alkaline paper) : 026203803X (hardcover ; alkaline paper) Description:  x, 342 pages : illustrations (some color), portraits ; 24 cm Requests:  0 Summary:  How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.   Copy/Holding information Location Collection Call No. Status   Hawaii State Library Business, Science & Technology 006.31 Se Checked In Add Copy to MyList

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