| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
006.3/1 |
| 書名/作者: |
Generalization with deep learning : for improvement on sensing capability // editors, Zhenghua Chen, Min Wu, Xiaoli Li. |
| 其他作者: |
Chen, Zhenghua. |
| 出版者: |
Singapore : : World Scientific,, c2021. |
| 面頁冊數: |
1 online resource (xii, 314 p.) |
| 標題: |
Electronic surveillance - Data processing. |
| 標題: |
Remote sensing - Data processing. |
| 標題: |
Diagnostic imaging - Data processing. |
| 標題: |
Machine learning. |
| ISBN: |
9789811218842 |
| 書目註: |
Includes bibliographical references and index. |
| 摘要、提要註: |
"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data"--Publisher's website. |
| 電子資源: |
https://www.worldscientific.com/worldscibooks/10.1142/11784#t=toc |