Описание: Rearview Funhouse is a collection of poems that seeks to put the spectacle of loss and what comes after on vibrant and aching display, asking the reader to consider -or reconsider - the ways that we collectively process loss and the expectations we place on the grieving.
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: 22968.00 р. 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
Автор: Victor Lavrenko Название: A Generative Theory of Relevance ISBN: 3642100422 ISBN-13(EAN): 9783642100420 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events.
Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.
The book
presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,
articulates and accentuates the most recent developments taking place in the
domain of Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.
The book
presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,
articulates and accentuates the most recent developments taking place in the
domain of Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Автор: Jovan Pehcevski Название: Generative AI Models ISBN: 1774699206 ISBN-13(EAN): 9781774699201 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25080.00 р. Наличие на складе: Поставка под заказ.
Описание: The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.
Автор: Margaret S. Archer Название: Generative Mechanisms Transforming the Social Order ISBN: 3319137727 ISBN-13(EAN): 9783319137728 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines how generative mechanisms emerge in the social order and their consequences.
Автор: Margaret S. Archer Название: Generative Mechanisms Transforming the Social Order ISBN: 3319362461 ISBN-13(EAN): 9783319362465 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines how generative mechanisms emerge in the social order and their consequences.
Автор: U. Hecker; Stefan Dutke; Grzegorz Sedek Название: Generative Mental Processes and Cognitive Resources ISBN: 0792365623 ISBN-13(EAN): 9780792365624 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, a booming research interest has been observed in linking basic cognitive processes with a variety of social and clinical phenomena. Evidence comes from the increasing popularity of psychological paradigms such as social cognition, cognitive psychopathology or cognitive aging.
Автор: U. Hecker; Stefan Dutke; Grzegorz Sedek Название: Generative Mental Processes and Cognitive Resources ISBN: 9401058806 ISBN-13(EAN): 9789401058803 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, a booming research interest has been observed in linking basic cognitive processes with a variety of social and clinical phenomena. Evidence comes from the increasing popularity of psychological paradigms such as social cognition, cognitive psychopathology or cognitive aging.
Автор: Harry van der Hulst, Pietro Cerrone, Roberto Petrosino Название: From Sounds to Structures: Beyond the Veil of Maya ISBN: 1501521314 ISBN-13(EAN): 9781501521317 Издательство: Walter de Gruyter Рейтинг: Цена: 5569.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The term ‘Maya’, in Indian traditions, refers to our sensory perception of the world and, as such, to a superficial reality (or ‘un–reality’) that we must look beyond to find the inner reality of things. Applied to the study of language, we perceive sounds, a superficial reality, and then we seek structures, the underlying reality in what we call phonology, morphology, and syntax. This volume starts with an introduction by the editors, which shows how the various papers contained in the volume reflect the spectrum of research interests of Andrea Calabrese, as well as his influence on the work of colleagues and his students. Contributors, united in their search for the abstract structures that underlie the appearances of languages include linguists such as Adriana Belletti, Paola Beninca, Jonathan Bobaljik, Gugliemo Cinque, David Embick, Mirko Grimaldi, Harry van der Hulst, Michael Kenstowicz, Maria Rita Manzini, Andrew Nevins, Elizabeth Pyatt, Luigi Rizzi, Leonardo Savoia, Laura Vanelli, Bert Vaux, Susi Wurmbrand, as well as a few junior researchers including Mariachiara Berizzi, Giuliano Bocci, Stefano Canalis, Silvio Cruschina, Irina Monich, Beata Moskal, Diego Pescarini, Joseph Perry, Roberto Petrosino, and Kobey Schwayder.
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