Deep learning systems have gotten really great at identifying patterns in text images and video. But applications that create realistic images natural sentences and paragraphs or native-quality translations have proven elusive. Generative Adversarial Networks or GA... Lees meer.

Generative artificial intelligence GAI and large language models LLM are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content such as text photos audio video and code to generate... Lees meer.

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... Lees meer.

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 suitab... Lees meer.

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book s major goal is to concentrate on cutting-edge research in deep learning and generative... Lees meer.

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks GAN methodologies their application to real-world projects and their underlying mathematical and theoretical concepts. Key Features. Guides you through the c... Lees meer.

Generative adversarial networks GANs were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014 and were to referred by Yann Lecun Facebook s AI research director as the most interesting idea in the last 10 years in ML. GANs potential i... Lees meer.

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This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and meth... Lees meer.

Generative adversarial networks GANs were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014 and were to referred by Yann Lecun Facebook s AI research director as the most interesting idea in the last 10 years in ML. GANs potential i... Lees meer.

Generative Adversarial Networks GANs in Practice is an all-inclusive resource that provides a solid foundation on GAN methodologies their application to real-world projects and their underlying mathematical and theoretical concepts. This book is an all-inclusive... Lees meer.

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. This book provides a collection of... Lees meer.