000			02266nam a2200301Ia 4500
000			02612nam a22003255i 4500
001			978-3-031-32661-5
003			DE-He213
005			20240319120940.0
007			cr nn 008mamaa
008			230704s2023 sz | s |||| 0|eng d
020			_a9783031326615 _9978-3-031-32661-5
082			_a6.31
100			_aKaddoura, Sanaa. _933455
245			_aA Primer on Generative Adversarial Networks _cby Sanaa Kaddoura. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aX, 84 p. 1 illus. _bonline resource.
520			_aThis 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			_aComputer Modelling. _933456
650			_aComputer simulation. _933457
650			_aMachine learning. _933458
650			_aMachine Learning. _933459
650			_aSignal processing. _933460
650			_aSignal, Speech and Image Processing . _933461
856			_uhttps://doi.org/10.1007/978-3-031-32661-5
942			_cEBK _2ddc
999			_c15391 _d15391