Learning TensorFlow (Record no. 56506)

MARC details
000 -LEADER
fixed length control field 02105nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200312145249.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200312b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352136100
028 ## - DISTRIBUTOR NAME
Distributor Name Raghav Books Private Limited
Distributor address A-184 A, Nand Gram, Ghaziabad, U.P.
Bill Number 1805
Bill Date 07/03/2020
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 HOP
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tom Hope
-- ; Yehezkel S Resheff
-- ; Itay Lieder
245 ## - TITLE STATEMENT
Title Learning TensorFlow
Remainder of title : a guide to building deep learning systems
Statement of responsibility, etc /Tom Hope
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Sebastopol, CA
Name of publisher, distributor, etc : O'Reilly Media
Date of publication, distribution, etc , 2017.
300 ## - PHYSICAL DESCRIPTION
Extent x,228 Pages
365 ## - TRADE PRICE
Price amount 700
505 ## - FORMATTED CONTENTS NOTE
Contents note Introduction --<br/>Go with the flow : up and running with TensorFlow --<br/>Understanding TensorFlow basics --<br/>Convolution neural networks --<br/>Text I : working with text and sequences, and TensorBoard visualization --<br/>Text II : word vectors, advanced RNN, and embedding visualization --<br/>TensorFlow abstractions and simplifications --<br/>Queues, threads, and reading data --<br/>Distributed TensorFlow --<br/>Exporting and serving models with TensorFlow.
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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Machine learning
Non-focus term Artificial intelligence
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     SNU LIBRARY SNU LIBRARY 12/03/2020 Raghav Books Private Limited 700.00 4 3 006.31 HOP 27485 29/12/2025 15/12/2025 12/03/2020 Books

© Copyright Shiv Nadar University 2012. All Rights Reserved.  Disclaimer |  Sitemap
The Shiv Nadar University has been established under U.P. Act No 12 of 2011. Shiv Nadar University is UGC Approved.