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Deep learning in practice (Record no. 35766)

MARC details
000 -LEADER
fixed length control field 02098nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250227180330.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032792910
040 ## - CATALOGING SOURCE
Original cataloging agency NISER LIBRARY
Language of cataloging eng
Transcribing agency NISER LIBRARY
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.85
Item number GHA-D
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ghayoumi, Mehdi
245 ## - TITLE STATEMENT
Title Deep learning in practice
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press, Taylor and Francis Group,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 198 pages.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 189-193) and index.
520 ## - SUMMARY, ETC.
Summary, etc. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL network’s parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE.
521 ## - TARGET AUDIENCE NOTE
Target audience note This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning)
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Table of content
Uniform Resource Identifier <a href="https://www.routledge.com/Deep-Learning-in-Practice/Ghayoumi/p/book/9780367458621#googlePreviewContainer">https://www.routledge.com/Deep-Learning-in-Practice/Ghayoumi/p/book/9780367458621#googlePreviewContainer</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Reviews
Uniform Resource Identifier <a href="https://www.goodreads.com/book/show/58394149-deep-learning-in-practice?ac=1&from_search=true&qid=ysFE1DyorM&rank=1#CommunityReviews">https://www.goodreads.com/book/show/58394149-deep-learning-in-practice?ac=1&from_search=true&qid=ysFE1DyorM&rank=1#CommunityReviews</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Universal Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Universal Decimal Classification     NISER LIBRARY NISER LIBRARY 18/02/2025 Order No. NISER/LIB/BK/PO/2024-25/35, Dt. 16/01/2025; Baroda Book Corporation; Invoice No. IN12257, Dt. 23/01/2025 1 004.85 GHA-D 25788 04/04/2025 22/03/2025 27/02/2025 Book
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