Demystifying Deep Learning (Record no. 67223)
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| fixed length control field | 04170nam a22003734u 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10.1002/9781394205639 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Wiley |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030120317.0 |
| 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 | 231127t2023||||xxu fs| |0|| 0|eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781394205639 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781394205639 |
| 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 | Santry, Douglas J. |
| Relator code | aut |
| 9 (RLIN) | 92115 |
| 245 10 - TITLE STATEMENT | |
| Title | Demystifying Deep Learning |
| Remainder of title | An Introduction to the Mathematics of Neural Networks |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Douglas J. Santry |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - Date publicare | |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2023 |
| 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 | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 256pp.; |
| 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 | |
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| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | DEMYSTIFYING DEEP LEARNING Discover how to train Deep Learning models by learning how to build real Deep Learning software libraries and verification software! The study of Deep Learning and Artificial Neural Networks (ANN) is a significant subfield of artificial intelligence (AI) that can be found within numerous fields: medicine, law, financial services, and science, for example. Just as the robot revolution threatened blue-collar jobs in the 1970s, so now the AI revolution promises a new era of productivity for white collar jobs. Important tasks have begun being taken over by ANNs, from disease detection and prevention, to reading and supporting legal contracts, to understanding experimental data, model protein folding, and hurricane modeling. AI is everywhere-on the news, in think tanks, and occupies government policy makers all over the world -and ANNs often provide the backbone for AI. Relying on an informal and succinct approach, Demystifying Deep Learning is a useful tool to learn the necessary steps to implement ANN algorithms by using both a software library applying neural network training and verification software. The volume offers explanations of how real ANNs work, and includes 6 practical examples that demonstrate in real code how to build ANNs and the datasets they need in their implementation, available in open-source to ensure practical usage. This approachable book follows ANN techniques that are used every day as they adapt to natural language processing, image recognition, problem solving, and generative applications. This volume is an important introduction to the field, equipping the reader for more advanced study. Demystifying Deep Learning readers will also find: A volume that emphasizes the importance of classification Discussion of why ANN libraries, such as Tensor Flow and Pytorch, are written in C++ rather than Python Each chapter concludes with a "Projects" page to promote students experimenting with real code A supporting library of software to accompany the book at https://github.com/nom-de-guerre/RANT An approachable explanation of how generative AI, such as generative adversarial networks (GAN), really work. An accessible motivation and elucidation of how transformers, the basis of large language models (LLM) such as ChatGPT, work. Demystifying Deep Learning is ideal for engineers and professionals that need to learn and understand ANNs in their work. It is also a helpful text for advanced undergraduates to get a solid grounding on the topic. |
| 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) | 66003 |
| 653 00 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | AI; artificial intelligence; machine learning; Generative AI; Transformers; Natural Language Processing; Convolutional Neural Networks (CNN); classification; regression; data science; supervised learning; medicine; law; financial services; science; natural language process; image recognition; problem solving; generative applications |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781394205608 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394205639">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394205639</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/5f487756-4062-4f07-8ebf-187e4ab2b53c/9781394205639.cover.gif">https://onlinelibrary.wiley.com/cms/asset/5f487756-4062-4f07-8ebf-187e4ab2b53c/9781394205639.cover.gif</a> |
| Host name | Wiley Online Library |
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