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Practical deep learning for cloud, mobile, and edge : (Record no. 4987)

MARC details
000 -LEADER
fixed length control field 01895nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZET-ke
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220125103438.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220125b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781492034865
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Modifying agency ZET-ke
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.76.A65
Item number .K68 2019
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Koul, Anirudh
245 ## - TITLE STATEMENT
Title Practical deep learning for cloud, mobile, and edge :
Remainder of title Real-world AI and computer-vision projects using python, keras, and tensorflow /
Statement of responsibility, etc Anirudh Koul, Siddha Ganju, and Meher Kasam.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Beijing :
Name of publisher, distributor, etc O'Reilly,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 588 p. :
Other physical details ill. ;
Dimensions 24 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Exploring the landscape of Artificial Intelligence -- What's in the picture: Image classification with Keras -- Cats versus dogs: Transfer learning in 30 lines with Keras -- Building a reverse image search engine: Understanding embeddings -- From Novice to master predictor: Maximizing convolutional neural network accuracy -- Maximizing speed and performance of tensorflow: A handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: Up and running in 15 minutes -- Scalable inference serving on cloud with tensorflow serving and Kubeflow -- AI in the browser with tensorflow.Js and ml5.Js -- Real-time object classification on iOS with core ML -- Not hotdog on iOS with core ML and create ML -- Shazam for food: Developing android Apps with tensorflow lite and ML kit -- Building the purrfect Cat locator App with tensorflow object detection API -- Becoming a maker: Exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: Reinforcement learning with AWS deepracer -- Appendix: A crash course in convolutional neutral networks.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ganju, Siddha
710 ## - ADDED ENTRY--CORPORATE NAME
Relator code Kasam, Meher
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Call number prefix QA76.76.A65
Call number suffix .K68 2019
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Date checked out Copy number Price effective from Koha item type
    Library of Congress Classification     Non-fiction Zetech Library - Mang'u Zetech Library - Mang'u General Stacks 25/01/2022 Purchase 7986 1 QA76.76.A65 .K68 2019 Z009651 28/03/2024 14/03/2024 C.2 25/01/2022 Books
    Library of Congress Classification     Non-fiction Zetech Library - Mang'u Zetech Library - Mang'u General Stacks 25/01/2022 Purchase 7985   QA76.76.A65 .K68 2019 Z009650 04/01/2024   C.1 25/01/2022 Books