课程号：

CS196001

课程名：

深度神经网络

英文课程名：

Deep Neural Networks

开课单位：

计算机科学与技术学院

授课教师：

李鸿升

责任教师：

苗启广

助理教师：

刘如意

学分/学时：

1/16

选课年级：

大一、大二

选课专业：

工科

教师简介（中英文）：

学习经历：

Ph. D., 2008 -- 2012, Computer Science, Lehigh University

M. Eng. student, 2006 -- 2007, Pattern Recognition and Intelligent System, Shanghai Jiao Tong University

B. Eng., 2002 -- 2006, Automation, East China University of Science and Technology

工作经历：

Assistant Professor, Jul. 2018 -- Present, Department of Electronic Enigneering, The Chinese University of Hong Kong

Research Assistant Professor, Aug. 2015 -- Jun. 2018, Department of Electronic Enigneering, The Chinese University of Hong Kong

Associate Professor, Jan. 2013 -- Jul. 2015, School of Electronic Scicence, University of Electronic Science and Technology of China

Postdoctoral Fellow, Feb. 2014 -- Jan. 2015, Department of Electronic Engineering, The Chinese University of Hong Kong

社会兼职：

Team Leader, Winner of ImageNet Video Object Detection/Tracking Challenge with provided data, 2016

Team Co-leader, Winner of ImageNet Video Object Detection Challenge with provided data, 2015

课程简介（中英文）：

This course will introduce students to the theory and practice of deep learning methods and image processing for deep neural networks (DNN) applications. Students will learn how to apply basic mathematical and deep learning methods to solve practical subsets of problems faced by researchers and practitioners in DNN. Theory will be reinforced with the deepening of the curriculum.

先修课程：

无