Neural networks and deep learning (Record no. 485623)
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000 -LEADER | |
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fixed length control field | 01675aam a22002411i 4500 |
001 - CONTROL NUMBER | |
control field | 0000320710 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | 0001 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240220140115.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 191220s2018 sz#a ob 001 0 eng d |
015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
National bibliography number | GBB8H0498 |
Source | bnb |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783319944623 (hardback) |
Qualifying information | CUI, JZL |
International Standard Book Number | 9783319944630 (eBook) |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | GW5XE |
Language of cataloging | eng |
Transcribing agency | GW5XE |
Modifying agency | Uk |
Description conventions | rda |
-- | pn |
042 ## - AUTHENTICATION CODE | |
Authentication code | ukblsr |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.32 |
Edition number | 23 |
084 ## - OTHER CLASSIFICATION NUMBER | |
Classification number | 006.32 |
Item number | AGG-N |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Aggarwal, Charu C., |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Neural networks and deep learning |
Medium | [Book] : |
Remainder of title | a textbook / |
Statement of responsibility, etc. | Charu C. Aggarwal. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxiii, 497 pages : |
Other physical details | illustrations (some color). |
Dimensions | 26 cm. |
365 ## - TRADE PRICE | |
Price type code | 01 |
Price amount | 0.00 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
Suppress in OPAC | No |
Date last seen | Total checkouts | Total renewals | Full call number | Shelving location | Date last checked out | Price effective from | Koha item type | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Withdrawn status | Home library | Barcode | Current library | Date acquired |
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04/19/2024 | 1 | 1 | 006.32 AGG-N 60199 | Ground Floor | 02/20/2024 | 02/20/2024 | Books | Dewey Decimal Classification | Books | Junaid Zaidi Library, COMSATS University Islamabad | 10001000060199 | Junaid Zaidi Library, COMSATS University Islamabad | 02/20/2024 |