A Primer on Generative Adversarial Networks (SpringerBriefs in Computer Science)

Price: $49.99 – $27.33
(as of Dec 24,2024 04:00:10 UTC – Details)

Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (July 5, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 94 pages
ISBN-10 ‏ : ‎ 3031326601
ISBN-13 ‏ : ‎ 978-3031326608
Item Weight ‏ : ‎ 5.1 ounces
Dimensions ‏ : ‎ 6.14 x 0.2 x 9.21 inches

Generative Adversarial Networks (GANs) have emerged as a powerful tool in the field of artificial intelligence, revolutionizing the way we generate new data. In the book “A Primer on Generative Adversarial Networks (SpringerBriefs in Computer Science),” readers are introduced to the fundamentals of GANs and how they work.

Authored by experts in the field, this SpringerBriefs publication provides a comprehensive overview of GANs, including their architecture, training process, and applications in various domains such as image generation, text-to-image synthesis, and video generation. Readers will learn about the key components of GANs, such as the generator and discriminator networks, as well as advanced techniques for improving GAN performance, such as Wasserstein GANs and conditional GANs.

Whether you are a researcher, practitioner, or student interested in exploring the cutting-edge technology behind GANs, “A Primer on Generative Adversarial Networks” is a must-read. Dive into the world of GANs and unlock the potential for creating realistic and diverse data like never before.
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