Conference on the Mathematical Theory of Deep Neural Networks

05 - 06 Nov 2020  New Date Reminder
Princeton Club of New York, New York, USA
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Conference on the Mathematical Theory of Deep Neural Networks aim is to give visibility to these results, and those that will follow in their wake, to shed light on the properties of large, adaptive, distributed learning architectures, and to revolutionize our understanding of these systems.​​​ These advances in practical results, however, have far outpaced a formal understanding of these networks and their training. The dearth of rigorous analysis for these techniques limits their usefulness in addressing scientific questions and, more broadly, hinders the systematic design of the next generation of networks.


09:00 AM-06:00 PM (expected)
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Entry Fees

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100 - 500
Based on previous editions

Category & Type

Education & Training


05 - 06 Nov 2020
31 Oct - 01 Nov 2019

Frequency Annual
Next edition likely in Nov 2021

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Princeton University

37 Total Events

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Linda Ness

Linda Ness

visiting researcher in math, CS, and data at Rutgers

Bernardsville, United States

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