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Modern computer vision with PyTorch : (Record no. 15673)

MARC details
000 -LEADER
fixed length control field	02564 a2200349 4500
001 - CONTROL NUMBER
control field	11540
003 - CONTROL NUMBER IDENTIFIER
control field	IN-BhIIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20260806170045.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	260806b \|\|\|\|\|\|\|\| \|\|\|\| 00\| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN	9781839213472 (paperback)
040 ## - CATALOGING SOURCE
Original cataloging agency	IN-BhIIT
041 ## - LANGUAGE CODE
Language code of text	eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.37
Book number	AYY/M
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name	Ayyadevara, V. Kishore,
Relator term	author.
245 ## - TITLE STATEMENT
Title	Modern computer vision with PyTorch :
Sub Title	explore deep learning concepts and implement over 50 real-world image applications /
Statement of responsibility, etc	V. Kishore Ayyadevara and Yeshwanth Reddy.
250 ## - EDITION STATEMENT
Edition statement	2nd edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication	Birmingham, UK :
Name of publisher	Packt Publishing Limited,
Year of publication	2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages	xxiv, 824 pages :
Other physical details(ill.)	illustrations (chiefly color) ;
Dimensions(size)	24 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note	Artificial neural network fundamentals -- PyTorch fundamentals -- Building deep neural networks with PyTorch -- Introducing convolutional neural networks -- Transfer learning for image classification -- Practical aspects of image classification -- Object detection -- Advanced object detection -- Image segmentation -- Applications of object detection and segmentation -- Autoencoders and image manipulation -- Image generation using GANs -- Advanced GANs for image manipulation -- Training with minimal data points -- Combining computer vision and natural language processing -- Combining computer vision and reinforcement learning -- Moving computer vision models to production -- OpenCV utilities for image analysis.
520 ## - SUMMARY, ETC.
Summary, etc	The book Modern Computer Vision with PyTorch is a practical guide to building deep learning applications for computer vision using the PyTorch framework. Covering more than fifty hands-on projects, it introduces neural networks, convolutional neural networks, transfer learning, object detection, image segmentation, GANs, image captioning, reinforcement learning, and deployment techniques. The book combines theoretical foundations with implementation examples, making it an excellent resource for students, researchers, and AI practitioners developing real-world computer vision systems.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term	Computer vision.

Topical Term	Deep learning (Machine learning)

Topical Term	Neural networks (Computer science)

Topical Term	Image processing
General subdivision	Digital techniques.

Topical Term	Pattern recognition systems.

Topical Term	Machine learning.

Topical Term	Artificial intelligence.

Topical Term	PyTorch (Computer file)

Topical Term	OpenCV (Computer program)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name	Reddy, Yeshwanth,
Relator term	author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	Technical Reference Book

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Damaged status	Not for loan	Collection code	Home library	Current library	Date acquired	Source of acquisition	Cost, normal purchase price	Total Checkouts	Full call number	Accession Number	Date last seen	Cost, replacement price	Price effective from	Koha item type
Not withdrawn	Not Lost	Dewey Decimal Classification	not damaged		SECS	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	05/08/2026	51	3407.24		006.37 AYY/M	11540	05/08/2026	4542.99	05/08/2026	Technical Reference Book