| 000 -LEADER |
| fixed length control field |
02040cam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
| control field |
19134018 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20180226151637.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
160613t20162016maua 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) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| 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 |
| 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 |
681.3 GOO |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Goodfellow, Ian, |
| Relator term |
author. |
| 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 |
London: |
| Name of publisher, distributor, etc |
Massachusetts Institute of Technology; |
| Date of publication, distribution, etc |
2017. |
| 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Machine learning, |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Bengio, Yoshua, |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Courville, Aaron, |
| Relator term |
author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
|
| Koha item type |
Books |