MARC details
| 000 -LEADER |
| fixed length control field |
03203nam a22004097a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251117095846.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
251106b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9789352139248 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9352139240 |
| 040 ## - CATALOGING SOURCE |
| Description conventions |
rda |
| Original cataloging agency |
SAIU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
005.6 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
| Fuller form of name |
Koul, Anirudh, |
| Relator term |
author |
| 245 10 - 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. |
| 246 30 - VARYING FORM OF TITLE |
| Title proper/short title |
Real-world AI and computer-vision projects using Python, Keras, and TensorFlow |
| 246 3# - VARYING FORM OF TITLE |
| Title proper/short title |
Real-world Artificial Intelligence and computer-vision projects using Python, Keras, and TensorFlow |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First Edition. |
| Remainder of edition statement |
Third Indian Reprint |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
India : |
| Name of publisher, distributor, etc |
Shroff / O'Reilly Media, |
| Date of publication, distribution, etc |
2019. |
| 264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
India : |
| Name of producer, publisher, distributor, manufacturer |
Shroff / O'Reilly Media, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2019. |
| 264 4# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Date of production, publication, distribution, manufacture, or copyright notice |
©2020 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xiv, 588 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - Content type term (R) |
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 500 ## - GENERAL NOTE |
| General note |
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 accurcy -- 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 mI5.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 |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
| Uniform title |
TensorFlow |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Application software |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Cloud computing |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Ganju, Siddha, |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Kasam, Meher, |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |