MARC details
000 -LEADER |
fixed length control field |
03156cam a2200493 i 4500 |
001 - CONTROL NUMBER |
control field |
22962735 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240310114545.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230207t20202020caua e 001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2022278837 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781492045526 |
Qualifying information |
(paperback) |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)on1184463764 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(Sirsi) i9781492045526 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
SRB |
Language of cataloging |
eng |
Transcribing agency |
SRB |
Description conventions |
rda |
Modifying agency |
OQX |
-- |
GO3 |
-- |
OCLCO |
-- |
OCLCF |
-- |
CLE |
-- |
UKMGB |
-- |
CDX |
-- |
UAP |
-- |
OCLCO |
-- |
OCL |
-- |
OCLCO |
-- |
OCLCQ |
-- |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
lccopycat |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.D343 |
Item number |
H69 2020 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
<a href="006.312">006.312</a> |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Howard, Jeremy |
Titles and words associated with a name |
(Scientist), |
Relator term |
author |
9 (RLIN) |
3292 |
245 10 - TITLE STATEMENT |
Title |
Deep learning for coders with fastai and PyTorch : |
Remainder of title |
AI applications without a PhD |
Statement of responsibility, etc. |
/ Jeremy Howard and Sylvain Gugger; [foreword by Soumith Chintala]. |
250 ## - EDITION STATEMENT |
Edition statement |
First edition. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Sebastopol, California : |
Name of producer, publisher, distributor, manufacturer |
O'Reilly Media, Inc., |
Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
©2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxiv, 594 pages : |
Other physical details |
illustrations (chiefly color); |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
Content type term |
still image |
Content type code |
sti |
Source |
rdacontent |
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 |
500 ## - GENERAL NOTE |
General note |
"Powered by jupyter"--Cover |
500 ## - GENERAL NOTE |
General note |
Includes index |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Part 1. Deep Learning Journey. Your Deep Learning Journey -- From Model to Production -- Data Ethics -- Part 2. Understanding fastai's Applications. Under the Hood: Training a Digit Classifier -- Image Classification --Other Computer Vision Problems -- Training a State-of-the-Art Model -- Collaborative Filtering Deep Dive -- Tabular Modeling Deep Dive -- NLP Deep Dive: RNNs -- Data Munging with fastai's Mid-Level API -- Part 3. Foundations of Deep Learning. A Language Model from Scratch -- Convolutional Neural Networks -- ResNets -- Application Architectures Deep Dive -- The Training Process -- Part 4. Deep Learning from Scratch. A Neural Net from the Foundations -- CNN Interpretation with CAM -- A fastai Learner from Scratch -- Concluding Thoughts. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions. |
596 ## - |
-- |
1 3 |
598 ## - |
-- |
NEWBOOKS |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Artificial intelligence. |
9 (RLIN) |
3262 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data mining. |
9 (RLIN) |
2728 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning. |
9 (RLIN) |
2745 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Natural language processing (Computer science) |
9 (RLIN) |
3293 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Python (Computer program language) |
9 (RLIN) |
1138 |
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Artificial intelligence |
9 (RLIN) |
3294 |
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data mining |
9 (RLIN) |
3295 |
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Natural language processing (Computer science) |
9 (RLIN) |
3296 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Chintala, Soumith, |
Relator term |
writer of foreword |
9 (RLIN) |
3297 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gugger, Sylvain, |
Relator term |
author |
9 (RLIN) |
3298 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
Safari, an O'Reilly Media Company |
9 (RLIN) |
3299 |