Creative Prototyping with Generative AI, Parra Pennefather
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
Автор: Reid Becker Christopher Название: Learn Human-Computer Interaction: Solve human problems and focus on rapid prototyping and validating solutions through user testing ISBN: 1838820329 ISBN-13(EAN): 9781838820329 Издательство: Неизвестно Рейтинг: Цена: 43630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: HCI is a field of study that involves researching, designing, and developing software solutions that solve human problems. With this book, you will learn how to build and deploy a software prototype that will allow you to test and iterate your human-centered solution.
Автор: Henry Krahenbuhl John Название: Axure Prototyping Blueprints ISBN: 1783551976 ISBN-13(EAN): 9781783551972 Издательство: Неизвестно Рейтинг: Цена: 75700.00 T Наличие на складе: Нет в наличии.
Автор: Bдhr Benjamin Название: Prototyping of User Interfaces for Mobile Applications ISBN: 3319850911 ISBN-13(EAN): 9783319850917 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction.- State of Prototyping Mobile Application User-Interfaces.- Prototyping Requirements.- Blended Prototyping - Design and Implementation.- Comparative Evaluation of Blended Prototyping.- Conclusion.
Автор: Warfel Todd Zaki Название: Prototyping: A Practitioner`s Guide ISBN: 1933820217 ISBN-13(EAN): 9781933820217 Издательство: Неизвестно Цена: 75850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Prototyping is a great way to communicate the intent of a design both clearly and effectively. Prototypes help you to flesh out design ideas, test assumptions, and gather real-time feedback from users. With this book, Todd Zaki Warfel shows how prototypes are more than just a design tool by demonstrating how they can help you market a product, gain internal buy-in, and test feasibility with your development team.
Автор: Coleman Название: Rapidly Prototyping Interfaces with InDesign ISBN: 1138486388 ISBN-13(EAN): 9781138486386 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Rapidly Prototyping Interfaces with InDesign guides readers to learn to create a wide range of interfaces, from mobile to desktop.
Автор: Chang, Mark Название: Foundation, Architecture, and Prototyping of Humanized AI ISBN: 1032491574 ISBN-13(EAN): 9781032491578 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Benjamin B?hr Название: Prototyping of User Interfaces for Mobile Applications ISBN: 331953209X ISBN-13(EAN): 9783319532097 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction.- State of Prototyping Mobile Application User-Interfaces.- Prototyping Requirements.- Blended Prototyping - Design and Implementation.- Comparative Evaluation of Blended Prototyping.- Conclusion.
Название: Rapidly Prototyping Interfaces with InDesign ISBN: 1498799248 ISBN-13(EAN): 9781498799249 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Нет в наличии.
Автор: Pesce, Mark Название: Getting started with chatgpt and ai chatbots ISBN: 1780176414 ISBN-13(EAN): 9781780176413 Издательство: Неизвестно Рейтинг: Цена: 19790.00 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.
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