Learning tensorflow (Record no. 7662)
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000 -LEADER | |
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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 audiencefrom data scientists and engineers to students and researchers. Youll 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, youll 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 |
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 |
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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 |