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Author (up) Sejnowski, T.J. isbn  openurl
  Title The Deep Learning Revolution Type Book Whole
  Year 2018 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords artificial intelligence, AI, human intelligence, deep learning  
  Abstract 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.  
  Address  
  Corporate Author Thesis  
  Publisher MIT Press Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 9780262038034 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number refbase @ admin @ sejnowski_deep_2018 Serial 17422  
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