Learning deep learning : (Record no. 609728)

000 -LEADER
fixed length control field 02191nam a22003615i 4500
001 - CONTROL NUMBER
control field 21994071
003 - CONTROL NUMBER IDENTIFIER
control field NUST
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240829120604.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210414s2021 mau 000 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2021937264
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780137470358
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780137470297
Qualifying information (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780137470259
Qualifying information (adobe pdf)
038 ## - RECORD CONTENT LICENSOR
Staff Name AZHAR
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Author Mark EKM
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ekman, Magnus,
Relator term author.
9 (RLIN) 123589
245 10 - TITLE STATEMENT
Title Learning deep learning :
Remainder of title theory and practice of neural networks, computer vision, natural language processing, and transformers using tensorflow /
Statement of responsibility, etc. Magnus Ekman.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston :
Name of publisher, distributor, etc. Addison-Wesley;
Date of publication, distribution, etc. 2022.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2108
300 ## - PHYSICAL DESCRIPTION
Extent 688p
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
520 ## - SUMMARY, ETC.
Summary, etc. "Deep learning is at the heart of many of today's most exciting advances in machine learning and artificial intelligence. Pioneering applications at companies like Tesla, Google, and Facebook are now being followed by massive investments in fields ranging from finance to healthcare. Now, there's a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Magnus Ekman illuminates both the underlying concepts and the hands-on programming techniques you'll need, even if you have no machine learning experience. Throughout, you'll find concise, well-annotated code examples using TensorFlow and the Keras API; for comparison and easy migration between frameworks, complementary examples in PyTorch are provided online. Ekman also explains enough of the mathematics to help newcomers grasp how deep learning actually works. The guide concludes by previewing emerging trends in deep learning, and exploring the challenging ethical issues surrounding its use"--
Assigning source Provided by publisher.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element E-BOOKBANK.SEECSTEXTBOOK
9 (RLIN) 125472
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://10.250.8.41:8080/xmlui/handle/123456789/41688">http://10.250.8.41:8080/xmlui/handle/123456789/41688</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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b ibc
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e epcn
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
          Central Library (CL) Central Library (CL) 06/12/2024 2 006.31 EKM CL-1553 01/27/2025 12/11/2024 06/12/2024 Book
          Central Library (CL) Central Library (CL) 06/27/2024   280 SCB SCB-1553 06/27/2024   06/27/2024 Book
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