Deep learning with Python / (Record no. 2677)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02927cam a2200445 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 22376710 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KWUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240213105552.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220110s2021 nyua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2021425412 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBC1J3389 |
| Source | bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 020401565 |
| Source | Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781617296864 |
| Qualifying information | (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1617296864 |
| Qualifying information | (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)on1289290141 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | LCC |
| Language of cataloging | Eng |
| Transcribing agency | KWUST |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA 76.73.P98 |
| Item number | .C465 2021 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chollet, François, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Deep learning with Python / |
| Statement of responsibility, etc. | François Chollet. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Shelter Island : |
| Name of producer, publisher, distributor, manufacturer | Manning Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2021] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiii, 478 pages : |
| Other physical details | color illustrations ; |
| Dimensions | 24 cm |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | Previous edition: 2018. |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. What is deep learning? -- 2. The mathematical building blocks of neural networks -- 3. Introduction to Keras and TensorFlow -- 4. Getting started with neural networks: classification and regression -- 5. Fundamentals of machine learning -- 6. The universal workflow of machine learning -- 7. Working with Keras: a deep dive -- 8. Introduction to deep learning for computer vision -- 9. Advanced deep learning for computer vision -- 10. Deep learning for timeseries -- 11. Deep learning for text -- 12. Generative deep learning -- 13. Best practices for the real world -- 14. Conclusions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications.-- |
| Assigning source | Source other than the Library of Congress. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Neural networks (Computer science) |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | copycat |
| d | 2 |
| e | ncip |
| f | 20 |
| g | y-gencatlg |
| 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 | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type | Date last checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 02/13/2024 | Purchase | 1311/09-23 | QA 76.73.P98 .C465 2021 | 2024-0264 | 02/13/2024 | C.1 | 02/13/2024 | Books | ||||||
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 02/13/2024 | Purchase | 1312/09-23 | 1 | QA 76.73.P98 .C465 2021 | 2024-0265 | 10/24/2024 | C.2 | 02/13/2024 | Books | 10/02/2024 |