MARC details
000 -LEADER |
fixed length control field |
02098nam a22002417a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250227180330.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250224b |||||||| |||| 00| 0 hin d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781032792910 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NISER LIBRARY |
Language of cataloging |
eng |
Transcribing agency |
NISER LIBRARY |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.85 |
Item number |
GHA-D |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Ghayoumi, Mehdi |
245 ## - TITLE STATEMENT |
Title |
Deep learning in practice |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Boca Raton : |
Name of publisher, distributor, etc. |
CRC Press, Taylor and Francis Group, |
Date of publication, distribution, etc. |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xix, 198 pages. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (pages 189-193) and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL network’s parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE. |
521 ## - TARGET AUDIENCE NOTE |
Target audience note |
This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Deep learning (Machine learning) |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Table of content |
Uniform Resource Identifier |
<a href="https://www.routledge.com/Deep-Learning-in-Practice/Ghayoumi/p/book/9780367458621#googlePreviewContainer">https://www.routledge.com/Deep-Learning-in-Practice/Ghayoumi/p/book/9780367458621#googlePreviewContainer</a> |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Reviews |
Uniform Resource Identifier |
<a href="https://www.goodreads.com/book/show/58394149-deep-learning-in-practice?ac=1&from_search=true&qid=ysFE1DyorM&rank=1#CommunityReviews">https://www.goodreads.com/book/show/58394149-deep-learning-in-practice?ac=1&from_search=true&qid=ysFE1DyorM&rank=1#CommunityReviews</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Universal Decimal Classification |
Koha item type |
Book |