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: 24499.00 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
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: Bдhr Benjamin Название: Prototyping of User Interfaces for Mobile Applications ISBN: 3319850911 ISBN-13(EAN): 9783319850917 Издательство: Springer Рейтинг: Цена: 13415.00 р. 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: 11378.00 р. 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: 22202.00 р. 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: 16078.00 р. 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: 13415.00 р. 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: 7654.00 р. 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: 2968.00 р. 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: 5487.00 р. 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: Taulli Название: Generative AI ISBN: 148429369X ISBN-13(EAN): 9781484293690 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions – which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It’s still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.
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