Deep Learning (Record no. 66979)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03245nam a22004094u 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10.1002/9781119861898 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Wiley |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030120307.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mam|a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240705t2024||||xxu fs| |0|| 0|eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119861898 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119861898 |
| Source of number or code | doi |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Martinez‐Ramon, Manel |
| Relator code | aut |
| 9 (RLIN) | 91500 |
| 245 10 - TITLE STATEMENT | |
| Title | Deep Learning |
| Remainder of title | A Practical Introduction |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Manel Martinez‐Ramon, Meenu Ajith, Aswathy Rajendra Kurup |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - Date publicare | |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2024 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Wiley |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 416pp.; |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Source | rdaft |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| Encoding format | |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary deep learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. Readers will also find: Thorough introductions to deep learning and deep learning tools Comprehensive explorations of convolutional neural networks, including discussions of their elements, operation, training, and architectures Practical discussions of recurrent neural networks and non-supervised approaches to deep learning Fulsome treatments of generative adversarial networks as well as deep Bayesian neural networks Perfect for undergraduate and graduate students studying computer vision, computer science, artificial intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of deep learning and machine learning in general. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 91501 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 91502 |
| 653 00 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Deep learning; machine learning; neural networks; convolutional neural networks; recurrent neural networks; long short-term memory; transformers; autoencoders; deep belief networks; generative adversarial networks; deep Bayesian networks; deep gaussian processes; deep learning examples; Python; Pytorch; Keras; Tensorflow; DL; ML; NN; CNN; RNN; LSTM; GAN; DBN |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ajith, Meenu |
| Relator code | aut |
| 9 (RLIN) | 91503 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kurup, Aswathy Rajendra |
| Relator code | aut |
| 9 (RLIN) | 91504 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781119861867 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1002/9781119861898">https://doi.org/10.1002/9781119861898</a> |
| Host name | Wiley Online Library |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119861898">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119861898</a> |
| Host name | Wiley Online Library |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Cover Image |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/cms/asset/7ef58906-d1ed-41b7-b188-427c1f2bca2c/9781119861898.cover.gif">https://onlinelibrary.wiley.com/cms/asset/7ef58906-d1ed-41b7-b188-427c1f2bca2c/9781119861898.cover.gif</a> |
| Host name | Wiley Online Library |
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