Seminar series
Date
Thu, 12 Nov 2020
Time
16:00 -
17:00
Location
Virtual
Speaker
Stéphane Mallat
Organisation
College de France
Deep convolutional networks have spectacular performances that remain mostly not understood. Numerical experiments show that they classify by progressively concentrating each class in separate regions of a low-dimensional space. To explain these properties, we introduce a concentration and separation mechanism with multiscale tight frame contractions. Applications are shown for image classification and statistical physics models of cosmological structures and turbulent fluids.