MARC details
| 000 -LEADER |
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| fixed length control field |
02266nam a2200301Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
02612nam a22003255i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-031-32661-5 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240319120940.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230704s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031326615 |
| -- |
978-3-031-32661-5 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
6.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kaddoura, Sanaa. |
| 9 (RLIN) |
33455 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
A Primer on Generative Adversarial Networks |
| Statement of responsibility, etc. |
by Sanaa Kaddoura. |
| Medium |
[electronic resource] / |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
X, 84 p. 1 illus. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networks. The book comes with ready-to-run scripts that readers can use for further research. Python is used as the primary programming language, so readers should be familiar with its basics. The book starts by providing an overview of GAN architecture, explaining the concept of generative models. It then introduces the most straightforward GAN architecture, which explains how GANs work and covers the concepts of generator and discriminator. The book then goes into the more advanced real-world applications of GANs, such as human face generation, deep fake, CycleGANs, and more. By the end of the book, readers will have an essential understanding of GANs and be able to write their own GAN code. They can apply this knowledge to their projects, regardless of whether they are beginners or experienced machine learning practitioners. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer Modelling. |
| 9 (RLIN) |
33456 |
|
|---|
| Topical term or geographic name entry element |
Computer simulation. |
| 9 (RLIN) |
33457 |
|
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
33458 |
|
|---|
| Topical term or geographic name entry element |
Machine Learning. |
| 9 (RLIN) |
33459 |
|
|---|
| Topical term or geographic name entry element |
Signal processing. |
| 9 (RLIN) |
33460 |
|
|---|
| Topical term or geographic name entry element |
Signal, Speech and Image Processing . |
| 9 (RLIN) |
33461 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-031-32661-5">https://doi.org/10.1007/978-3-031-32661-5</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
