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Generative Adversarial Learning: Architectures and Applications

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Generative Adversarial Learning: Architectures and Applications Roozbeh Razavi-Far
Libristo kod: 38504247
Nakladnici Springer Nature Switzerland AG, veljača 2022
This book provides a collection of recent research works addressing theoretical issues on improving... Cijeli opis
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This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs' theoretical developments and their applications.

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Informacije o knjizi

Puni naziv Generative Adversarial Learning: Architectures and Applications
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2022
Broj stranica 355
EAN 9783030913892
Libristo kod 38504247
Težina 723
Dimenzije 155 x 235 x 26
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