Handbook of research on deep learning innovations and trends / Aboul Ella Hassanien, Ashraf Darwish, and Chiranji Lal Chowdhary, editors.
"Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recogni...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Hershey, PA :
Engineering Science Reference,
[2019]
|
| Subjects: | |
| Online Access: | IGI Global e-Book Collection |
| Summary: | "Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academicians."--Publisher's website. |
|---|---|
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 1522578625 1522578633 9781522578628 9781522578635 |