Introduction to deep learning I, II

全球变化科学紫荆论坛第202期

报告题目：Introduction to deep learning I, II

报告时间：2017.06.28  9:30-12:00

报告地点：蒙民伟科技大楼南楼S818室

主讲人：  Donghui Yan  University of Massachusetts

讲座简介：

Deep learning has emerged as the key technology behind the recent success in a number of domains, such as image classification, speech recognition,  natural language processing, Go playing, self-driving etc. In the first part of this lecture, I will briefly introduce the idea, development, and challenges of deep learning. In the second part, I will present some popular deep learning architectures, such as convolution nets, and recurrent nets (including long short term memory).

主讲人简介：

Donghui Yan is an Assistant Professor of Mathematics and Data Science at the University of Massachusetts, Dartmouth. He was previously a principal data scientist at the Walmart e-commerce Lab helping develop recommendation and personalization systems. Prior to that, he worked at the Fred Hutchinson Cancer Research Center and Intel Research Lab, Berkeley. He received his PhD in Statistics from the University of California, Berkeley, and BS/MS in Applied Mathematics from Shanghai Jiao Tong University. His research interests lie broadly in statistical methodology and machine learning algorithms, as well as applied statistics in various domains.