MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities - Softcover

Wu, Jiann-Ming; Tien, Chao-Yuan

Softcover

ISBN 10: 1799815552 ISBN 13: 9781799815556

Publisher: Engineering Science Reference, 2020

Synopsis

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.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2020
• Language: English
• ISBN 10: 1799815552
• ISBN 13: 9781799815556
• Binding: Paperback
• Number of pages: 212