Seminar Details
2020-04-21 (14:00) : Deep Learning in Computer Vision
At MS Teams
Organized by Mathematical Engineering
Speaker :
De Vleeschouwer, Christophe
Abstract :
Deep learning and more specifically Convolutional Neural Networks (CNNs) are now predominant in computer vision. In this seminar, we survey a variety of image processing problems and present how they are formulated in terms of CNNs optimization, using image-wise or pixel-wise predictions. We then introduce some of the practical issues encountered when training and deploying neural networks in real-life, which reveals that a major shortcoming of neural networks lies in the poor understanding we have about their inner processes and generalization capabilities. Since a solid mathematical framework is still lacking to explain neural networks performance, we summarize a few recent experimental results revealing the tight connection between network pruning and generalization. Those results suggest to look for an explanation in the way neurons split data in diverse and representative binary classes.