Dec 6 2019

Special Colloquium: Mathematics of Deep Neural Networks, by Boris Hanin

December 6, 2019

3:00 PM - 3:50 PM


636 SEO


Chicago, IL

Boris Hanin (Texas A&M): Mathematics of Deep Neural Networks

Neural networks are remarkable families of non-linear functions that form the backbone for state-of-the-art algorithms in tasks from computer vision (self-driving cars), natural language processing (Google Translate) and reinforcement learning (AlphaGo). After giving a precise definition of what neural networks are, I will explain how important practical questions about their complexity, stability, and optimization can be recast in mathematical terms using objects ranging from hyperplane arrangements to random matrices. Most of these probabilistic questions are new, and I will touch on work I've done to start answering them.

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Julius Ross

Date posted

Dec 13, 2019

Date updated

Dec 13, 2019


Boris Hanin | (Texas A&M)