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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART:20260329T030000
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DTSTART;TZID=Europe/Berlin:20211110T170000
DTEND;TZID=Europe/Berlin:20211110T190000
DTSTAMP:20211108T130603Z
CREATED:20211108
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TRANSP:OPAQUE
SUMMARY:Optimal Control of Deep Neural Networks by E. Zuazua
DESCRIPTION:On November 9th, our Head Enrique Zuazua will be talking about “Optimal Control of Deep Neural Networks” on the “New Bridges between Mathematics and Data Science” organized by the University of Valladolid on November 8th. – 11th, 2021.\nAsbtract. We discuss the training process for Deep Neural Networks (DNN) from an optimal control perspective. In particular we analyze the turnpike phenomena, and how it emerges, as a function of the cost functional to be optimized, and that guarantees that, in the deep layer regime, the DNN experiences the tendency to become steady. \nThis lecture is inspired on recent joint work with Borjan Geshkovski, Carlos Esteve-Yagüe and Dario Pighin.\n\nWHEN?\nTalk by Prof. Enrique Zuazua: \nWed. November 10, 2021 at 17:00H – 19:00H\nWHERE?\nOnline Zoom /On site: Valladolid (Paraninfo)\nRegistration\nTo attend this event a registration fee is required. See more The Spanish ‘Mathematical Strategic Network’\n|| See more the Complete Program\n
URL:https://dcn.nat.fau.eu/events/optimal-control-of-deep-neural-networks-by-e-zuazua/
CATEGORIES:EZuazua,Seminar/Talk
LOCATION:Worldwide
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/optimalCtrlDNN-EZuazua-10nov2021.png
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