Автор: Edited By Roshani Raut, Pranav D Pathak, Sachin R Название: Generative Adversarial Networks and Deep Learning Theory and Applications ISBN: 1032068108 ISBN-13(EAN): 9781032068107 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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 adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications.
Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc. Features:Presents a comprehensive guide on how to use GAN for images and videos.
Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
Название: Regulating hate speech created by generative ai ISBN: 1032644346 ISBN-13(EAN): 9781032644349 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Razavi-Far Название: Generative Adversarial Learning: Architectures and Applications ISBN: 3030913929 ISBN-13(EAN): 9783030913922 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Kalpokiene, Julija Название: Law, human creativity and generative artificial intelligence ISBN: 1032735872 ISBN-13(EAN): 9781032735870 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Marr, Bernard (advanced Performance Institute, Buckinghamshire, Uk) Название: Generative ai in practice ISBN: 1394245564 ISBN-13(EAN): 9781394245567 Издательство: Wiley Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Harvard Business Review Mollick, Ethan Cremer, David De Neeley, Tsedal Sinha, Prabhakant Название: Generative ai: the insights you need from harvard business review ISBN: 164782639X ISBN-13(EAN): 9781647826390 Издательство: INGRAM PUBLISHER SERVICES UK Рейтинг: Цена: 21110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Matwin Название: Generative Methods for Social Media Analysis ISBN: 303133616X ISBN-13(EAN): 9783031336164 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a broad overview of the state of the art of the research in generative methods for the analysis of social media data. It especially includes two important aspects that currently gain importance in mining and modelling social media: dynamics and networks. The book is divided into five chapters and provides an extensive bibliography consisting of more than 250 papers. After a quick introduction and survey of the book in the first chapter, chapter 2 is devoted to the discussion of data models and ontologies for social network analysis. Next, chapter 3 deals with text generation and generative text models and the dangers they pose to social media and society at large. Chapter 4 then focuses on topic modelling and sentiment analysis in the context of social networks. Finally, Chapter 5 presents graph theory tools and approaches to mine and model social networks. Throughout the book, open problems, highlighting potential future directions, are clearly identified. The book aims at researchers and graduate students in social media analysis, information retrieval, and machine learning applications.
Автор: Lopez-lira, Alejandro Название: Predictive edge ISBN: 1394242719 ISBN-13(EAN): 9781394242719 Издательство: Wiley Рейтинг: Цена: 28500.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Generative AI in Higher Education ISBN: 1032599049 ISBN-13(EAN): 9781032599045 Издательство: Taylor&Francis Рейтинг: Цена: 35720.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Granville,Vincent Название: Synthetic Data And Generative Ai ISBN: 0443218579 ISBN-13(EAN): 9780443218576 Издательство: Elsevier Science Рейтинг: Цена: 135870.00 T Наличие на складе: Нет в наличии.
Автор: Razavi-Far Roozbeh, Ruiz-Garcia Ariel, Palade Vasile Название: Generative Adversarial Learning: Architectures and Applications ISBN: 3030913899 ISBN-13(EAN): 9783030913892 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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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