Deep learning : (Record no. 142481)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01907nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260910103720.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260910s2024 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032487960 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | T 006.31 |
| Item number | MEE-D |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Meedeniya, Dulani |
| 245 10 - TITLE STATEMENT | |
| Title | Deep learning : |
| Remainder of title | a beginners' guide / |
| Statement of responsibility, etc | Dulani Meedeniya |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Boca Raton : |
| Name of publisher, distributor, etc | CRC Press, |
| Date of publication, distribution, etc | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 184 p. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL. Key features: Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications Explains the concepts and terminology in problem-solving with deep learning Explores the theoretical basis for major algorithms and approaches in deep learning Discusses the enhancement techniques of deep learning models Identifies the performance evaluation techniques for deep learning models Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning."-- Provided by publisher |
| 546 ## - LANGUAGE NOTE | |
| Language note | Eng |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Deep learning (Machine learning) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2026-09-10 | 006.31 MEE-D | 154317 | 2026-09-10 | 2026-09-10 | Books | ||||
| UMT Main Campus | UMT Main Campus | 2026-09-10 | 006.31 MEE-D | 154318 | 2026-09-10 | 2026-09-10 | Books | C.2 | |||
| UMT Main Campus | UMT Main Campus | 2026-09-10 | 006.31 MEE-D | 154319 | 2026-09-10 | 2026-09-10 | Books | C.3 | |||
| UMT Main Campus | UMT Main Campus | 2026-09-10 | 006.31 MEE-D | 154320 | 2026-09-10 | 2026-09-10 | Books | C.4 | |||
| UMT Main Campus | UMT Main Campus | 2026-09-10 | 006.31 MEE-D | 154321 | 2026-09-10 | 2026-09-10 | Books | C.5 |