MARC details
000 -LEADER |
fixed length control field |
02040nam a2200349 i 4500 |
001 - CONTROL NUMBER |
control field |
32607 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-DhAAL |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211114152523.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180115t20162016maua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2016022992 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780262035613 (hardcover : alk. paper) |
|
International Standard Book Number |
0262035618 (hardcover : alk. paper) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Transcribing agency |
DLC |
Description conventions |
rda |
Modifying agency |
DLC |
-- |
BD-DhAAL |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.5 |
Item number |
.G66 2016 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Goodfellow, Ian |
9 (RLIN) |
24830 |
245 10 - TITLE STATEMENT |
Title |
Deep learning / |
Statement of responsibility, etc |
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge, Massachusetts : |
Name of publisher, distributor, etc |
The MIT Press, |
Date of publication, distribution, etc |
c2016 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxii, 775 pages : |
Other physical details |
illustrations (some color) ; |
Dimensions |
24 cm. |
490 0# - SERIES STATEMENT |
Series statement |
Adaptive computation and machine learning |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (pages [711]-766) and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models. |
526 ## - STUDY PROGRAM INFORMATION NOTE |
Program name |
AAL |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning, |
9 (RLIN) |
24831 |
|
Topical term or geographic name as entry element |
Computer science. |
9 (RLIN) |
42418 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Bengio, Yoshua |
9 (RLIN) |
24832 |
|
Personal name |
Courville, Aaron |
9 (RLIN) |
24833 |
852 ## - LOCATION/CALL NUMBER |
Location |
Ayesha Abed Library |
Shelving location |
General Stacks |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Book |