Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.

You are invited to attend 2021 5th International Conference on Deep Learning Technologies will be held during July 23-25, 2021 in Qingdao, China. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.

2021年第五届深度学习技术国际会议 将于 2021年7月23-25日中国青岛召开, 为深度学习领域的研究人员,学者和科学家提供一个面对面交流自己的想法的机会, 本次会议是由中国海洋大学,青岛计算机学会,青岛大学计算机科学技术学院联合支持举办, 欢迎大家踊跃投稿参加!

We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.

我们邀请深度学习技术,及其相关领域的研究人员参与并提交论文稿件,ICDLT 主题范围包含:深入学习在软件中的应用, 深入学习在硬件中的应用, 关于深度学习的概念讲座和前沿研究, 建立以深度学习为核心的企业研究,等等...更多主题请查看 Call for Papers

Track 1: Applications of Deep Learning in software
Track 2: Applications of Deep Learning in hardware
Track 3: Conceptual talks and cutting edge research on Deep Learning
Track 4: Building businesses with Deep Learning at the core


Publication 出版

ICDLT 2021 会议收录的文章将以论文集形式出版,并提交至出版社ACM在线数据库,会被 Ei Compendex 和 Scopus 等各大检索机构机构,文章作者将被邀请参会展示研究报告. 已取得出版刊号 978-1-4503-9016-3

The ISBN number of ICDLT 2021 is 978-1-4503-9016-3. You are invited to submit manuscript to ICDLT 2021. The accepted paper will be included into ICDLT 2021 Conference Proceedings, which will be published in the International Conference Proceedings Series by ACM, which will be archived in  ACM Digital Library, and indexed by EI CompendexScopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

■ Submission Method ■ 投稿方式

• Submission Online Electrical System - 投稿系统 :
• Any question, please email your submission to conference secretary

Keynote Speaker 特邀报告人

Prof. Dr. Yi Ma

IEEE Fellow, ACM Fellow, SIAM Fellow
Electrical Engineering and Computer Sciences
University of California, Berkeley

Dr. Wenjun Zeng (Kevin)

IEEE Fellow, Sr. Principal Research Manager
Microsoft Research Asia, Beijing, China

Prof. Lin Weisi

IEEE Fellow, IET Fellow
Nanyang Technological University, Singapore

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