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The deep learning architect's handbook : (Record no. 36055)

000 -LEADER
fixed length control field 02708cam a22003497i 4500
003 - CONTROL NUMBER IDENTIFIER
control field jomaaum
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250723112229.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240109s2023 enka o 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781803243795
International Standard Book Number 1803243791
International Standard Book Number 9781803235349
International Standard Book Number 1803235349
041 ## - Language
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.73
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number C539
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chin, Ee Kin,
Relator term author
9 (RLIN) 46896
245 14 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title The deep learning architect's handbook :
Remainder of title build and deploy production-ready DL solutions leveraging the latest Python techniques /
Statement of responsibility, etc Ee Kin Chin
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Birmingham :
Name of publisher, distributor, etc Packt Publishing,
Date of publication, distribution, etc 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 495 p. :
Other physical details ill. ;
Dimensions 24 cm.
500 ## - GENERAL NOTE
General note Includes index
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available to OhioLINK libraries
520 ## - SUMMARY, ETC.
Summary, etc Deep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning)
Topical term or geographic name as entry element Deep learning (Machine learning)
General subdivision Industrial applications
9 (RLIN) 46897
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ohio Library and Information Network
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Chin, Ee Kin.
Title Deep learning architect.
Place, publisher, and date of publication Birmingham : Packt Publishing, 2023
International Standard Book Number 9781803243795
Record control number (OCoLC)1400101071
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified O'Reilly
Public note Connect to resource
Uniform Resource Identifier https://learning.oreilly.com/library/view/~/9781803243795/?ar
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Cost, normal purchase price Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Shelving location Current location Public note Full call number
2025-02-09AUM Main Library2025-07-23 2025-07-23 Book 45.00 بنك الكتب الطبية والأكاديمية45.00 AUM-026532English Collections HallAUM Main Library202500085006.31 C539