Theoretical Foundation of Deep Learning 2018 Workshop

Event Details
  • Date/Time:
    • Monday October 8, 2018 - Wednesday October 10, 2018
      12:00 am - 11:59 pm
  • Location: Bill Moore Student Success Center Georgia Tech
  • Phone:
  • URL:
  • Email:
  • Fee(s):
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Summary Sentence: Workshop on Theorectial Foundation

Full Summary: No summary paragraph submitted.

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

Additional Information

In Campus Calendar

TRIAD , School of Industrial and Systems Engineering (ISYE)

Invited Audience
generalization ability of deep learning, reqularizastion shcemes, adversarial training
  • Created By: Kathy Huggins
  • Workflow Status: Published
  • Created On: Sep 11, 2018 - 8:53am
  • Last Updated: Sep 12, 2018 - 11:17am