| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230413b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780000988546 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.31 |
| Item number |
GRA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Graupe, Daniel |
| 245 ## - TITLE STATEMENT |
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| Title |
Deep learning neural networks : design and case studies |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
World Scientific Publishing, |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Singapore : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 263 p. ; |
| Other physical details |
ill., |
| Dimensions |
25 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
1295.00 |
| Price type code |
INR |
| Unit of pricing |
01 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance. This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
ART neural network |
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| Topical term or geographic name as entry element |
Back propogation |
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| Topical term or geographic name as entry element |
Boltzmmann machine |
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| Topical term or geographic name as entry element |
CNN applications |
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| Topical term or geographic name as entry element |
Convolutional Neural networks |
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| Topical term or geographic name as entry element |
Data analysis |
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| Topical term or geographic name as entry element |
Deep learning neural networks |
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| Topical term or geographic name as entry element |
Excitory neuron |
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| Topical term or geographic name as entry element |
Fingerprint recognition |
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| Topical term or geographic name as entry element |
Gibbs-Boltzmann-distribution |
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| Topical term or geographic name as entry element |
Hopfield neural network |
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| Topical term or geographic name as entry element |
Input matrix |
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| Topical term or geographic name as entry element |
K-lines |
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| Topical term or geographic name as entry element |
LAMSTAR network |
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| Topical term or geographic name as entry element |
Link-weights |
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| Topical term or geographic name as entry element |
Neocognition |
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| Topical term or geographic name as entry element |
Output layer |
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| Topical term or geographic name as entry element |
Restricted Boltzmann machine |
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| Topical term or geographic name as entry element |
Speech recognition |
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| Topical term or geographic name as entry element |
Support vector machines |
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| Topical term or geographic name as entry element |
Winning neuron |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Item type |
Books |