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Theoretical Foundation of Deep Learning 2018 Workshop

Deep Learning has been a major driving force in the recent surge of interest in Artificial Intelligence (AI), both in academia and in industry. While deep learning has witnessed tremendous empirical success, the theoretical understanding of deep learning remains an important open research field. Promising ideas on the theoretical foundation of deep learning have emerged. The workshop will provide an avenue for researchers in related fields to review existing work, communicate new results, and seek new research directions. In addition to deep learning, related topics will include the generalization ability of deep learning, regularization schemes, adversarial training, generative models, training neural networks, and optimization (convex and non-convex).

Theoretical Foundation of Deep Learning 2018 Workshop website

Event Details

Monday, 8 October 2018 - 12:00am to Wednesday, 10 October 2018 - 12:00am

Bill Moore Student Success Center Georgia Tech

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Georgia Tech Supply Chain and
Logistics Institute
H. Milton Stewart School of
Industrial & Systems Engineering
765 Ferst Drive, NW, Suite 228
Atlanta, GA 30332
Phone: 404.894.2343