St. Clair College - Windsor/South Campus

The deep learning revolution

Q325.5.S45
2018

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The deep learning revolution

Sejnowski, Terrence J. (Terrence Joseph), author.

2018.

x, 342 pages : illustrations (some color), portraits ; 24 cm.

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.

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BooksBooks

1 copy available at St. Clair College - Windsor/South Campus

LC Call No:

Q325.5 .S45 2018

Author:

Sejnowski, Terrence J. (Terrence Joseph), author.

Title:

The deep learning revolution / Terrence J. Sejnowski.

Physical:

x, 342 pages : illustrations (some color), portraits ; 24 cm.

ContentType:

text txt rdacontent

MediaType:

unmediated n rdamedia

CarrierType:

volume nc rdacarrier

BibliogrphyNote:

Includes bibliographical references and index.

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.

Field Ind Subfield Data
001 001     3859056
005 005     20181121171113.0
020 ISBN   $a ISBN  978-0-262-03803-4
    $q   hardcover ;
    $q   alkaline paper
040 Cataloging Src   $a Original cataloging agency  DLC
    $b Language of cataloging  eng
    $e Description conventions  rda
    $c Transcribing agency  DLC
050 LC Call No 00  $a Classification number  Q325.5
    $b Item number  .S45 2018
100 ME:PersonalName 1   $a Personal name  Sejnowski, Terrence J.
    $q Fuller form of name  (Terrence Joseph),
    $e Relator term  author.
245 Title 14  $a Title  The deep learning revolution /
    $c Statement of responsibility  Terrence J. Sejnowski.
260 PublicationInfo   $c Date of publication, dist, etc  2018.
264 ProductnNotice $a Place of prod/dist/manuf.  Cambridge, Massachusetts :
    $b Name of prod./pub./dist./man.  The MIT Press,
    $c Date of prod/dist/manuf/copyrt  2018
300 Physical Desc   $a Extent  x, 342 pages :
    $b Other physical details  illustrations (some color), portraits ;
    $c Dimensions  24 cm.
336 ContentType   $a Content type term  text
    $b Content type code  txt
    $2 Source  rdacontent
337 MediaType   $a Media type term  unmediated
    $b Media type code  n
    $2 Source  rdamedia
338 CarrierType   $a Carrier type term  volume
    $b Carrier type code  nc
    $2 Source  rdacarrier
504 BibliogrphyNote   $a Bibliography, etc. note  Includes bibliographical references and index.
520 Summary 8   $a Summary, etc. note  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.
650 Subj. $a Topical heading  Machine learning.
650 Subj. $a Topical heading  Artificial intelligence
    $x General subdivisoin  Social aspects.
650 Subj. $a Topical heading  Big data.
852 Holdings   $a Location  221
    $h Classification part  Q325.5.S45 2018
    $p Barcode  219989
    $9 Cost  $32.00

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