Deep neural networks and applications / (Record no. 1523)

000 -LEADER
fixed length control field 02704nam a22003257a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220903112142.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220215b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Qualifying information 9781774074138 (e-book)
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number EBOP QA 76.87
Item number S73 2020
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Stanimirović, Ivan, author.
9 (RLIN) 4549
245 ## - TITLE STATEMENT
Title Deep neural networks and applications /
Statement of responsibility, etc. Ivan Stanimirović.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oakville, Ontario :
Name of publisher, distributor, etc. Arcler Press,
Date of publication, distribution, etc. c2020.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 181 pages :
Other physical details color illustrations
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term computer
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term online resource
500 ## - GENERAL NOTE
Materials specified To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliography references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1 : Introducion to Artificial Neural Networks (ANN)<br/>Chapter 2 : Main Neural Network Topologies<br/>Chapter 3 : Artificial Intelligence and its Application in Risk Management<br/>Chapter 4 : Artificial Neural Networks<br/>Chapter 5 : Deep Neural Networks Applied in Practice<br/>Chapter 6 : Optimizing Deep Learning and Ensemble Models for Best Performance on E-Learning Data<br/>Chapter 7 : Methodology and The Research Framework<br/>Chapter 8 : Developing Algorithms that Speed Up Data Processing Over Complex Network Architectures to train a Machine Learning Model<br/>Chapter 9 : Optimization of Database Query Structures Using Deep Learning<br/>Chapter 10 : Conclusion
520 ## - SUMMARY, ETC.
Summary, etc. Deep neural networks and applications makes the readers aware about the various Artificial Neutral Networks (ANN) and the topologies related to Main Neutral Networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk management. It further elaborates on the Artificial Neutral Networks in detail and discusses the practical applications of the deep neutral networks. Also discussed in the book is the optimization of deep learning for the best performance of e-learning data, the methodology and the research framework, development of the algorithms that quicken the data processing over complex network architectures and the optimization of database query structures using deep learning
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Accession number EBOP00014
Extent 1
546 ## - LANGUAGE NOTE
Materials specified In English text.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science).
9 (RLIN) 4550
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 301
856 40 - ELECTRONIC LOCATION AND ACCESS
Electronic name Bibliotex.
Materials specified Electronic Resources
Public note <a href="https://www.bibliotex.com/product/deep-neural-networks-applications">https://www.bibliotex.com/product/deep-neural-networks-applications</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type E-Books
Classification part QA 76.87 S73 2020
Call number prefix EBOP
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 Coded location qualifier Cost, normal purchase price Full call number Barcode Date last seen Copy number Price effective from Koha item type
          Electronic Resources Cavite State University - CCAT Campus Cavite State University - CCAT Campus ER 02/06/2022 Purchased EBOP 5990.00 EBOP QA 76.87 S73 2020 EBOP0000014 02/15/2022 1 copy 02/06/2022 E-Books

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