|CS291K - Deep Learning for Text Mining and Understanding||home | schedule|
* April 6, Qualification Exam (In order to take this course, students need to pass this exam)
Abstract: This is a graduate-level course on deep learning for text ananlysis. We will discuss newest publications on information extraction, question answering and dialog system.
Each student is expected to give one hour presentation and complete a research project.
Prerequisites: Neural network building experience or CS291K (spring 2016) or CS292F (spring 2017)
Time: Tuesday/Thursday 11:00- 12:50pm, Location: PHELP 3526 Office Hour: Tuesday 1:00-2:00pm
TA: N/A. Research Project Coordinator: Honglei Liu (liuhonglei at gmail dot com) and Keqian Li (keqianlicg at gmail dot com)
Text Books (not required, but you'd better read it)
Deep Learning, An MIT Press book, Ian Goodfellow and Yoshua Bengio and Aaron Courville
Lecture notes (will be available later)