Deep learning / (Record no. 21784)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01829nam a2200229Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250520103029.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780262537551 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q 325.5 .K45 2019 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kelleher, John D. |
| Relator term | author |
| 245 #0 - TITLE STATEMENT | |
| Title | Deep learning / |
| Statement of responsibility, etc. | John D. Kelleher |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cambridge, Massachusetts : |
| Name of publisher, distributor, etc. | The MIT Press, |
| Date of publication, distribution, etc. | c2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 280 pages : |
| Other physical details | illustrations ; |
| Dimensions | 18 cm. |
| 365 ## - TRADE PRICE | |
| Price amount | USD12 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction to Deep Learning -- 2. Conceptual Foundations -- 3. Neural Networks: The Building Blocks of Deep Learning -- 4. A Brief History of Deep Learning -- 5. Convolutional and Recurrent Neural Networks -- 6. Learning Functions -- 7. The Future of Deep Learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Artificial Intelligence is a disruptive technology across business and society. There are three long-term trends driving this AI revolution: the emergence of Big Data, the creation of cheaper and more powerful computers, and development of better algorithms for processing and learning from data. Deep learning is the subfield of Artificial Intelligence that focuses on creating large neural network models that are capable of making accurate data driven decisions. Modern neural networks are the most powerful computational models we have for analyzing massive and complex datasets, and consequently deep learning is ideally suited to take advantage of the rapid growth in Big Data and computational power. In the last ten years, deep learning has become the fundamental technology in computer vision systems, speech recognition on mobile phones, information retrieval systems, machine translation, game AI, and self-driving cars. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | ARTIFICIAL INTELLIGENCE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Machine Learning | LRC - Main | National University - Manila | General Circulation | 05/07/2024 | Purchased - Amazon | 12.00 | GC Q 325.5 .K45 2019 | NULIB000019543 | 05/20/2025 | c.1 | 05/20/2025 | Books |