Practical Machine Learning for Computer Vision End to End Machine Learning for Images (Record no. 814441)

MARC details
000 -LEADER
fixed length control field 02254nam a22002657a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240111s2021 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098102364
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781098102364
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Item number LAK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Lakshmanan, Valliappa
9 (RLIN) 879206
Relator term author
245 ## - TITLE STATEMENT
Title Practical Machine Learning for Computer Vision End to End Machine Learning for Images
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Beijing :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2021
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 463 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.<br/><br/>Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.<br/><br/>You'll learn how to:<br/><br/> Design ML architecture for computer vision tasks<br/> Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task<br/> Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model<br/> Preprocess images for data augmentation and to support learnability<br/> Incorporate explainability and responsible AI best practices<br/> Deploy image models as web services or on edge devices<br/> Monitor and manage ML models
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision
9 (RLIN) 1730
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Gorner, Martin
9 (RLIN) 879769
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Gillard, Ryan
9 (RLIN) 879771
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098102364.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098102364.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.oreilly.com/library/view/practical-machine-learning/9781098102357/">https://www.oreilly.com/library/view/practical-machine-learning/9781098102357/</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Purchased by Department/Discipline Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Department of Urban and Infrastructure Engineering Reference Section Reference Section Reference Section 13/12/2023 22 Purchased 26124.91 3 006.37 LAK 98506 04/10/2024 04/10/2024 2023-2024 26124.90 13/12/2023 Reference Collection