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.
深度学习是人工智能中发展最快的领域,它帮助计算机以图像、声音和文本的形式感知无限量的数据。利用多层次的神经网络,计算机现在有能力去观察、学习和对复杂情况做出反应,在某些领域甚至比人类更好。2018年第二届深度学习技术国际会议 将于 2018年6月27-29日中国重庆 召开,由重庆邮电大学主办,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 。

Good News! ICDLT 2018 has been archived into ACM Digital Library. Read More

Hence, 2018 2nd International Conference on Deep Learning Technologies will be held during June 27-29, 2018, Chongqing, China, hosted by Chongqing University of Posts and Telecommunications in order to provide a valuable opportunity for researchers ,scholars and scientists to exchange their ideas face to face in DLT.

ICDLT 2017 Conference Proceedings has been included into ACM Digital Library and already been indexed by  Ei Compendex | SCOPUS.
ICDLT 2017 会议论文集已经被EI Compendex 和 SCOPUS 检索

Thank you for all the supports! Hope to see you next year! 感谢有您的参与,期待与您下一届再见!

< To download the original photo / 下载原图 >

Publication opportunity

会议收录的文章将以论文集形式出版并提交 Ei Compendex 和 Scopus 检索, 文章作者将被邀请参会展示研究报告。

The ISBN Number of ICDLT 2018 Conference Proceedings: 978-1-4503-6473-7 (ICDLT 2018论文集出版刊号)

ICDLT 2018 proceedings will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex  and  Scopu and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

(System Maintenance Notice) If you cannot submit via the system, please submit the paper via email submission@ieee-icct.org

All submission will be peer reviewed before acceptance!
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