CS 7931: Deep Learning Seminar

Instructors: Vivek Srikumar and Dustin Webb

When: Wednesdays, 01:25 PM-02:45 PM

Where: MEB 3147

Schedule

Date Topic Student presenter/Paper Title Scribe
2015-08-26 Logistics and Machine Learning Basics N/A N/A
2015-09-02 Machine Learning Basics: Neural networks N/A N/A
2015-09-09 Representation Learning Michael Matheny Nicolas Bertagnolli
2015-09-16 Restricted Boltzmann Machines (RBMs) Soumya Smruti Mishra Mike Tanana
2015-09-23 Autoencoders (AEs) Nicolas Bertagnolli Michael Matheny
2015-09-30 Convolutional Neural Networks (CNNs) Danny Perry Soumya Smruti Mishra
2015-10-07 Convolutional Neural Networks (continued) Guineng Zheng Nipun Gunawardena
2015-10-14 Fall Break N/A N/A
2015-10-21 Recurrent Neural Networks (RNNs) Mike Tanana Sam Leventhal
2015-10-28 Long-short Term Memory (LSTM) Sam Leventhal Danny Perry
2015-11-04 Recursive Neural Networks (RNNs - unfortunately) Jie Cao Guineng Zheng
2015-11-11 Training Deep Models Nipun Gunawardena Open
2015-11-18 Optimization for deep learning Hang Shao Jie Cao
2015-11-25 No class
2015-12-02 Advanced Topics / Requested Topics / Buffer Open Open
2015-12-09 Summary N/A N/A

References

We will have a collection of papers and tutorials associated with each of the lecture topics. Here are some materials that are more broad in their coverage.

Books

Reading Lists

Video Lectures

Deep Learning Courses/Course Sections