MARC details
000 -LEADER |
fixed length control field |
04423cam a2200613 i 4500 |
001 - CONTROL NUMBER |
control field |
on1004086901 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240430150208.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
170926s2018 maua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2017044863 |
015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
National bibliography number |
GBB8K9709 |
Source |
bnb |
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
Record control number |
019123563 |
Source |
Uk |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780262038034 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
026203803X |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
40028511050 |
029 1# - (OCLC) |
OCLC library identifier |
AU@ |
System control number |
000060873916 |
029 1# - (OCLC) |
OCLC library identifier |
AU@ |
System control number |
000064446608 |
029 1# - (OCLC) |
OCLC library identifier |
CHBIS |
System control number |
011056451 |
029 1# - (OCLC) |
OCLC library identifier |
CHDSB |
System control number |
006842781 |
029 1# - (OCLC) |
OCLC library identifier |
CHSLU |
System control number |
001331841 |
029 1# - (OCLC) |
OCLC library identifier |
CHVBK |
System control number |
529849488 |
029 1# - (OCLC) |
OCLC library identifier |
CHVBK |
System control number |
529927284 |
029 1# - (OCLC) |
OCLC library identifier |
CHVBK |
System control number |
530245981 |
029 1# - (OCLC) |
OCLC library identifier |
UKMGB |
System control number |
019123563 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
<a href="(OCoLC)1004086901">(OCoLC)1004086901</a> |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
YDX |
-- |
BDX |
-- |
OCLCF |
-- |
OCLCO |
-- |
OCLCQ |
-- |
TOH |
-- |
ERASA |
-- |
YDX |
-- |
OCLCO |
-- |
GZN |
-- |
CHVBK |
-- |
OCLCO |
-- |
YUS |
-- |
L2U |
-- |
UKMGB |
-- |
OBE |
-- |
NRC |
-- |
GYG |
-- |
IAK |
-- |
BYV |
-- |
OCLCA |
-- |
OCLCQ |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q 325.5 |
Item number |
.S45 2018 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3/1 |
Edition number |
23 |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
COM004000 |
-- |
SCI089000 |
Source of number |
bisacsh |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
Q 325.5 |
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
.S45 2018 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Sejnowski, Terrence J. |
Fuller form of name |
(Terrence Joseph), |
Relator term |
author. |
9 (RLIN) |
187029 |
245 14 - TITLE STATEMENT |
Title |
The deep learning revolution / |
Statement of responsibility, etc |
Terrence J. Sejnowski. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
Place of production, publication, distribution, manufacture |
Cambridge, Massachusetts : |
Name of producer, publisher, distributor, manufacturer |
The MIT Press, |
Date of production, publication, distribution, manufacture |
[2018] |
300 ## - PHYSICAL DESCRIPTION |
Extent |
x, 342 pages : |
Other physical details |
illustrations (chiefly color) ; |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
Content Type Term |
text |
Content Type Code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media Type Term |
unmediated |
Media Type Code |
n |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier Type Term |
volume |
Carrier Type Code |
nc |
Source |
rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (pages 285-319) and index. |
505 00 - FORMATTED CONTENTS NOTE |
Title |
Preface -- |
Miscellaneous information |
Part I. |
Title |
Intelligence reimagined. |
-- |
The rise of machine learning ; |
-- |
The rebirth of artificial intelligence ; |
-- |
The dawn of neural networks ; |
-- |
Brain-style computing ; |
-- |
Insights from the visual system -- |
Miscellaneous information |
Part II. |
Title |
Many ways to learn. |
-- |
The cocktail party problem ; |
-- |
The Hopfield net and Boltzmann machine ; |
-- |
Backpropagating errors ; |
-- |
Convolutional learning ; |
-- |
Reward learning ; |
-- |
Neural information processing systems -- |
Miscellaneous information |
Part III. |
Title |
Technological and scientific impact. |
-- |
The future of machine learning ; |
-- |
The age of algorithms ; |
-- |
Hello, Mr. Chips ; |
-- |
Inside information ; |
-- |
Consciousness ; |
-- |
Nature is cleverer than we are ; |
-- |
Deep intelligence -- |
Miscellaneous information |
Glossary. |
520 8# - SUMMARY, ETC. |
Summary, etc |
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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
9 (RLIN) |
187030 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data. |
9 (RLIN) |
187031 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence |
General subdivision |
Social aspects. |
9 (RLIN) |
187032 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
COMPUTERS |
General subdivision |
Database Management |
-- |
Data Mining. |
Source of heading or term |
bisacsh |
9 (RLIN) |
187033 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence |
General subdivision |
Social aspects. |
Source of heading or term |
fast |
9 (RLIN) |
187032 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data. |
Source of heading or term |
fast |
9 (RLIN) |
187031 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
Source of heading or term |
fast |
9 (RLIN) |
187030 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
K�unstliche Intelligenz |
Source of heading or term |
gnd |
9 (RLIN) |
187034 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Neuronales Netz |
Source of heading or term |
gnd |
9 (RLIN) |
187035 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Maschinelles Lernen |
Source of heading or term |
gnd |
9 (RLIN) |
187036 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Item type |
Books |
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) |
a |
49600 |