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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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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
