Deep Learning for Perception
Georgia Tech, Spring 2016
Zsolt Kira
Additional Readings

Please note: This list will be updated for 2016 as the class progresses. These are OPTIONAL readings in case you are interested in learning more about a particular topic. You will not be tested on them for the course.

1 Background

1.1 Computer Vision

1.2 Optimization

2 Sparse Coding

3 Optimization Advice

4 Sparse Autoencoders

5 Visualization

6 Applications

7 Recent Developments