Fullscreen
Loading...
 
Tao
Print

Seminar14122018

Friday, 14th of December

14h30 (room R2014, 660 building) (see location )

Edouard Oyallon

(CentraleSupelec)

Title: The shallow learning quest


Abstract

Successful deep neural networks are systematically trained via the end-to-end back-propagation algorithm. We challenge this optimization procedure. We show it is possible to train layers sequentially, by using ad-hoc auxiliary classifiers. For instance, one can obtain AlexNet? performances on Imagenet by training successively a sequence of 1-hidden layer CNNs. Using deeper auxiliary classifier, we exhibit VGG performances. We propose an empirical analysis through the scope of progressive linear separation. Applications are discussed.



Contact: guillaume.charpiat at inria.fr
All TAU seminars: here

Contributors to this page: guillaume .
Page last modified on Friday 07 of December, 2018 08:33:05 CET by guillaume.