Matconvnet Deep Learning And Ios Mobile App Design For Pattern Recognition Emerging Research And Opportunities
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| Author | : Wu, Jiann-Ming |
| Publisher | : IGI Global |
| Total Pages | : 181 |
| Release | : 2020-04-17 |
| Genre | : Computers |
| ISBN | : 1799815560 |
Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image classification. As these technologies continue to advance, professionals have begun translating this intelligent programming language into mobile applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. Featuring research on topics such as medical image diagnosis, convolutional neural networks, and character classification, this book is ideally designed for programmers, developers, researchers, practitioners, engineers, academicians, students, scientists, and educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.
| Author | : Kumar, Pardeep |
| Publisher | : IGI Global |
| Total Pages | : 431 |
| Release | : 2020-05-22 |
| Genre | : Computers |
| ISBN | : 1799828050 |
With the help of artificial intelligence, machine learning, and big data analytics, the internet of things (IoT) is creating partnerships within industry where machines, processes, and humans communicate with one another. As this radically changes traditional industrial operations, this results in the rapid design, cheap manufacture, and effective customization of products. Answering the growing demand of customers and their preferences has become a challenge for such partnerships. Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital is a collection of innovative research that discusses development, implementation, and business impacts of IoT technologies on sustainable societal development and improved life quality. Highlighting a wide range of topics such as green technologies, wireless networks, and IoT policy, this book is ideally designed for technology developers, entrepreneurs, industrialists, programmers, engineers, technicians, researchers, academicians, and students.
| Author | : Gaur, Loveleen |
| Publisher | : IGI Global |
| Total Pages | : 459 |
| Release | : 2020-04-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1799827739 |
As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores global concerns in the applications of technology to business and the explosive growth that resulted. Highlighting a wide range of topics such as cyber security, legal practice, and artificial intelligence, this book is ideally designed for engineers, manufacturers, technology managers, technology developers, IT specialists, productivity consultants, executives, lawyers, programmers, managers, policymakers, academicians, researchers, and students.
| Author | : Andrew Ferlitsch |
| Publisher | : Manning Publications |
| Total Pages | : 400 |
| Release | : 2021-05-25 |
| Genre | : Computers |
| ISBN | : 9781617298264 |
Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible. For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns, is here to help. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
| Author | : Jason Brownlee |
| Publisher | : Machine Learning Mastery |
| Total Pages | : 564 |
| Release | : 2019-04-04 |
| Genre | : Computers |
| ISBN | : |
Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.
| Author | : Li Deng |
| Publisher | : Springer |
| Total Pages | : 338 |
| Release | : 2018-05-23 |
| Genre | : Computers |
| ISBN | : 9811052093 |
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
| Author | : V. Suma |
| Publisher | : Springer Nature |
| Total Pages | : 975 |
| Release | : 2020-07-31 |
| Genre | : Technology & Engineering |
| ISBN | : 9811552584 |
This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20–21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.
| Author | : Dragan Perakovic |
| Publisher | : Springer |
| Total Pages | : 416 |
| Release | : 2021-06-20 |
| Genre | : Computers |
| ISBN | : 9783030784584 |
This book constitutes the refereed post-conference proceedings of the 5th International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2021, held in May 2021. Due to COVID-19 pandemic the conference was held virtually. This year’s conference topic covers security of innovative services and infrastructure in traffic, transport and logistic ecosystems. The 30 revised full papers were carefully reviewed and selected from 60 submissions. The papers are organized in thematic sessions on: Internet of things and smart city; smart environment applications; information and communications technology; smart health applications; sustainable communications and computing infrastructures.
| Author | : Sherief Reda |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2018-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9783319993218 |
This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems.
| Author | : Jason Brownlee |
| Publisher | : Machine Learning Mastery |
| Total Pages | : 247 |
| Release | : 2016-06-23 |
| Genre | : Computers |
| ISBN | : |
Machine learning is not just for professors. Weka is a top machine learning platform that provides an easy-to-use graphical interface and state-of-the-art algorithms. In this Ebook, learn exactly how to get started with applied machine learning using the Weka platform.
