PhD Defense: IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION
Abhay Yadav
Abstract
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Bio
Abhay Yadav is a Ph.D. candidate in computer science advised by Professor David W. Jacobs. His research lies at the intersection of deep learning and optimization, and targets applications in computer vision. His recent works are focused on efficient and automated training methods for deep networks.
This talk is organized by Tom Hurst