期刊全称 | A Primer on Generative Adversarial Networks | 影响因子2023 | Sanaa Kaddoura | 视频video | | 发行地址 | A self-contained short and focused guide for practitioners and students beginning in GANs.Can be used by researchers for building new and attractive tools for several applications.Code-based presentat | 学科分类 | SpringerBriefs in Computer Science | 图书封面 |  | 影响因子 | 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, rega | Pindex | Book 2023 |
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