The deep learning revolution

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...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sejnowski, Terrence J. - 1947- [verfasserIn]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Cambridge, Massachusetts London, England: The MIT Press ; 2018 © 2018

Schlagwörter:	Deep learning
Schlagwörter:	Deep learning Machine learning Big data Artificial intelligence ; Social aspects

Systematik:	ST 300 CC 5200

Umfang:	1 Online-Ressource (342 Seiten) ; Illustrationen, Diagramme

Links:	Link aufrufen Link aufrufen
ISBN:	978-0-262-34682-5

Katalog-ID:	1675919127

Internformat


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Indexfelder

author_variant	t j s tj tjs
matchkey_str	book:9780262346825:2018----
oclc_num	1077516323
hierarchy_sort_str	[2018]
publishDate	2018
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spelling	9780262346825 978-0-262-34682-5 (DE-627)1675919127 (DE-599)BVBBV045314658 (OCoLC)1077516323 (DE-604)BV045314658 (MITPRESS)8555400 (EBP)055143849 DE-627 ger DE-627 rda eng XD-US 006.3/1 ST 300 rvk (DE-625)rvk/143650: CC 5200 rvk (DE-625)rvk/17636: Sejnowski, Terrence J. 1947- verfasserin (DE-588)1061879550 (DE-627)806252537 (DE-576)418895414 aut The deep learning revolution Terrence J. Sejnowski Cambridge, Massachusetts London, England The MIT Press [2018] © 2018 1 Online-Ressource (342 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Deep learning Machine learning Big data Artificial intelligence ; Social aspects s (DE-588)1135597375 (DE-627)890512922 (DE-576)489847412 Deep learning gnd DE-101 9780262038034 Erscheint auch als Druck-Ausgabe 9780262038034 https://ieeexplore.ieee.org/book/8555400 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2018 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 CC 5200 Philosophische Kybernetik Philosophie Systematische Philosophie Philosophische Kybernetik (DE-627)1270638904 (DE-625)rvk/17636: (DE-576)200638904 BO 045F 006.3/1 22 01 0018 3848473038 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3542594326 olr-MIT i z 19-11-19 62 01 0028 3598518161 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 26-02-20 100 01 3100 4472465841 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011219916 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3511690986 00 --%%-- --%%-- p --%%-- Campuslizenz l01 04-09-19 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/8555400 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/8555400 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/8555400 62 01 0028 https://ieeexplore.ieee.org/book/8555400 100 01 3100 https://ieeexplore.ieee.org/book/8555400 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/8555400 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/8555400 2015 01 DE-93 https://ieeexplore.ieee.org/book/8555400?bknumber=8555400 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfields_unstemmed	9780262346825 978-0-262-34682-5 (DE-627)1675919127 (DE-599)BVBBV045314658 (OCoLC)1077516323 (DE-604)BV045314658 (MITPRESS)8555400 (EBP)055143849 DE-627 ger DE-627 rda eng XD-US 006.3/1 ST 300 rvk (DE-625)rvk/143650: CC 5200 rvk (DE-625)rvk/17636: Sejnowski, Terrence J. 1947- verfasserin (DE-588)1061879550 (DE-627)806252537 (DE-576)418895414 aut The deep learning revolution Terrence J. Sejnowski Cambridge, Massachusetts London, England The MIT Press [2018] © 2018 1 Online-Ressource (342 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Deep learning Machine learning Big data Artificial intelligence ; Social aspects s (DE-588)1135597375 (DE-627)890512922 (DE-576)489847412 Deep learning gnd DE-101 9780262038034 Erscheint auch als Druck-Ausgabe 9780262038034 https://ieeexplore.ieee.org/book/8555400 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2018 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 CC 5200 Philosophische Kybernetik Philosophie Systematische Philosophie Philosophische Kybernetik (DE-627)1270638904 (DE-625)rvk/17636: (DE-576)200638904 BO 045F 006.3/1 22 01 0018 3848473038 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3542594326 olr-MIT i z 19-11-19 62 01 0028 3598518161 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 26-02-20 100 01 3100 4472465841 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011219916 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3511690986 00 --%%-- --%%-- p --%%-- Campuslizenz l01 04-09-19 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/8555400 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/8555400 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/8555400 62 01 0028 https://ieeexplore.ieee.org/book/8555400 100 01 3100 https://ieeexplore.ieee.org/book/8555400 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/8555400 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/8555400 2015 01 DE-93 https://ieeexplore.ieee.org/book/8555400?bknumber=8555400 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsGer	9780262346825 978-0-262-34682-5 (DE-627)1675919127 (DE-599)BVBBV045314658 (OCoLC)1077516323 (DE-604)BV045314658 (MITPRESS)8555400 (EBP)055143849 DE-627 ger DE-627 rda eng XD-US 006.3/1 ST 300 rvk (DE-625)rvk/143650: CC 5200 rvk (DE-625)rvk/17636: Sejnowski, Terrence J. 1947- verfasserin (DE-588)1061879550 (DE-627)806252537 (DE-576)418895414 aut The deep learning revolution Terrence J. Sejnowski Cambridge, Massachusetts London, England The MIT Press [2018] © 2018 1 Online-Ressource (342 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Deep learning Machine learning Big data Artificial intelligence ; Social aspects s (DE-588)1135597375 (DE-627)890512922 (DE-576)489847412 Deep learning gnd DE-101 9780262038034 Erscheint auch als Druck-Ausgabe 9780262038034 https://ieeexplore.ieee.org/book/8555400 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2018 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 CC 5200 Philosophische Kybernetik Philosophie Systematische Philosophie Philosophische Kybernetik (DE-627)1270638904 (DE-625)rvk/17636: (DE-576)200638904 BO 045F 006.3/1 22 01 0018 3848473038 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3542594326 olr-MIT i z 19-11-19 62 01 0028 3598518161 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 26-02-20 100 01 3100 4472465841 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011219916 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3511690986 00 --%%-- --%%-- p --%%-- Campuslizenz l01 04-09-19 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/8555400 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/8555400 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/8555400 62 01 0028 https://ieeexplore.ieee.org/book/8555400 100 01 3100 https://ieeexplore.ieee.org/book/8555400 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/8555400 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/8555400 2015 01 DE-93 https://ieeexplore.ieee.org/book/8555400?bknumber=8555400 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsSound	9780262346825 978-0-262-34682-5 (DE-627)1675919127 (DE-599)BVBBV045314658 (OCoLC)1077516323 (DE-604)BV045314658 (MITPRESS)8555400 (EBP)055143849 DE-627 ger DE-627 rda eng XD-US 006.3/1 ST 300 rvk (DE-625)rvk/143650: CC 5200 rvk (DE-625)rvk/17636: Sejnowski, Terrence J. 1947- verfasserin (DE-588)1061879550 (DE-627)806252537 (DE-576)418895414 aut The deep learning revolution Terrence J. Sejnowski Cambridge, Massachusetts London, England The MIT Press [2018] © 2018 1 Online-Ressource (342 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Deep learning Machine learning Big data Artificial intelligence ; Social aspects s (DE-588)1135597375 (DE-627)890512922 (DE-576)489847412 Deep learning gnd DE-101 9780262038034 Erscheint auch als Druck-Ausgabe 9780262038034 https://ieeexplore.ieee.org/book/8555400 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2018 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 CC 5200 Philosophische Kybernetik Philosophie Systematische Philosophie Philosophische Kybernetik (DE-627)1270638904 (DE-625)rvk/17636: (DE-576)200638904 BO 045F 006.3/1 22 01 0018 3848473038 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3542594326 olr-MIT i z 19-11-19 62 01 0028 3598518161 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 26-02-20 100 01 3100 4472465841 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011219916 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3511690986 00 --%%-- --%%-- p --%%-- Campuslizenz l01 04-09-19 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/8555400 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/8555400 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/8555400 62 01 0028 https://ieeexplore.ieee.org/book/8555400 100 01 3100 https://ieeexplore.ieee.org/book/8555400 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/8555400 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/8555400 2015 01 DE-93 https://ieeexplore.ieee.org/book/8555400?bknumber=8555400 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
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Sejnowski</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Massachusetts</subfield><subfield code="a">London, England</subfield><subfield code="b">The MIT Press</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (342 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. 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title_full	The deep learning revolution Terrence J. Sejnowski
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title_sort	deep learning revolution
title_auth	The deep learning revolution
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.
abstractGer	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.
abstract_unstemmed	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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title_short	The deep learning revolution
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up_date	2024-07-04T19:19:07.834Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a2200265 4500</leader><controlfield tag="001">1675919127</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240409132734.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">190904s2018 xxu\|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780262346825</subfield><subfield code="9">978-0-262-34682-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1675919127</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045314658</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1077516323</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-604)BV045314658</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MITPRESS)8555400</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EBP)055143849</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XD-US</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/143650:</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">CC 5200</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/17636:</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sejnowski, Terrence J.</subfield><subfield code="d">1947-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1061879550</subfield><subfield code="0">(DE-627)806252537</subfield><subfield code="0">(DE-576)418895414</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The deep learning revolution</subfield><subfield code="c">Terrence J. Sejnowski</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Massachusetts</subfield><subfield code="a">London, England</subfield><subfield code="b">The MIT Press</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (342 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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. 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