Reading Group on Deep Neural Nets

organizer Jean Barbier
office http://plan.epfl.ch/?room=INR139
phone +41 21 6938111
email jean.barbier@epfl.ch
room INR-113
time 3:00pm

Special Announcements

 

Objectives

After a quick introduction in order to familiarise ourselves with some of basic notions of deep neural nets, we will read and discuss a sequence of fairly recent papers. Our emphasis will be on papers that explain why deep neural networks work rather than on papers that apply neural nets to various problems. If you have suggestions what to read, please mail Jean. Also, if you are willing to present one of the papers, we are always looking for volunteers.

Detailed Schedule

Date Topics Covered Presenter
April 7 Introduction Marco Mondelli (Notes)
April 13 Introduction (bis) Marco Mondelli (Notes)
April 20 Representation Power of Neural Nets Olivier Leveque (Notes)
April 27 Representation Power of Neural Nets (bis) Olivier Leveque
May 4 Ascension  
May 11 Iterative Optimization of Neural Nets (ter) Olivier Leveque
May 18 Break  
May 25 Train Faster, Generalize Better Ruediger Urbanke
June 2 Train Faster, Generalize Better (bis) Ruediger Urbanke

 

Resources