Group Equivariant Non-Expansive Operators and Their Use in Deep Learning

Group Equivariant Non-Expansive Operators and Their Use in Deep Learning

Explore the topological and geometrical properties of group equivariant non-expansive operators and their applications in Deep Learning in this 25-minute conference talk. Delve into the research presented by Nicola Quercioli on January 13, 2021, as part of the Applied Algebraic Topology Network series. Gain insights into how these mathematical concepts are utilized to enhance deep learning algorithms and their potential impact on the field of artificial intelligence.