Learning tensorflow (Record no. 7662)

000 -LEADER
fixed length control field nam a22 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181115122817.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181115b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352136100
040 ## - CATALOGING SOURCE
Transcribing agency AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number DDC23
Classification number 006.31
Item number HOP/RES
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 5070
Personal name Hope, Tom
245 ## - TITLE STATEMENT
Title Learning tensorflow
Remainder of title : A guide to building deep learning systems
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sebastopol
Name of publisher, distributor, etc. O'Reilly Media, Inc.
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent x, 228p.
Other physical details | Binding - Paperback |
Dimensions 23*18 cm
520 ## - SUMMARY, ETC.
Summary, etc. Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.

Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. You’ll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 5071
Personal name Resheff, Yezezkel S.
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 5072
Personal name Lieder, Itay
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Text Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Total Checkouts Checked out Date last checked out
        Not For Loan Reference School of Engineering & Technology School of Engineering & Technology Reference Section 2018-10-13 Medico's Book Aid 560.00 006.31 HOP/RES E14581 2024-06-28 700.00 2018-11-15 Text Books      
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-10-13 Medico's Book Aid 560.00 006.31 HOP/RES E14582 2024-05-31 700.00 2018-11-15 Text Books 5 2024-06-30 2024-05-31
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