Learning deep learning : (Record no. 453058)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02143nmm a22003375i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 21994071 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251209153931.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210414s2021 mau 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2021937264 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780137470358 |
| Qualifying information | (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780137470297 |
| Qualifying information | (epub) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780137470259 |
| Qualifying information | (adobe pdf) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | 21994071 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ekman, Magnus, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Learning deep learning : |
| Remainder of title | theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow [EBOOK] |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2108 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Boston : |
| Name of producer, publisher, distributor, manufacturer | Addison-Wesley, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | pages cm |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Deep learning is at the heart of many of today's most exciting advances in machine learning and artificial intelligence. Pioneering applications at companies like Tesla, Google, and Facebook are now being followed by massive investments in fields ranging from finance to healthcare. Now, there's a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Magnus Ekman illuminates both the underlying concepts and the hands-on programming techniques you'll need, even if you have no machine learning experience. Throughout, you'll find concise, well-annotated code examples using TensorFlow and the Keras API; for comparison and easy migration between frameworks, complementary examples in PyTorch are provided online. Ekman also explains enough of the mathematics to help newcomers grasp how deep learning actually works. The guide concludes by previewing emerging trends in deep learning, and exploring the challenging ethical issues surrounding its use"-- |
| Assigning source | Provided by publisher. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Link text | Click here to online access |
| Uniform Resource Identifier | <a href="http://ebooks.amritanet.edu:4991/EBOOKS/EBD64_Learningdeeplearning_MagnusEkman.pdf">http://ebooks.amritanet.edu:4991/EBOOKS/EBD64_Learningdeeplearning_MagnusEkman.pdf</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 0 |
| b | ibc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Universal Decimal Classification |
| Koha item type | E-BOOKS |
| Suppress in OPAC | No |
| Date last seen | Total checkouts | Barcode | Price effective from | Koha item type | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Withdrawn status | Home library | Current library | Date acquired |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 09.12.2025 | EBD64 | 09.12.2025 | E-BOOKS | Universal Decimal Classification | EBOOKS-DIGITAL LIBRARY | EBOOKS-DIGITAL LIBRARY | 09.12.2025 |