Deep Learning For Machine Vision
Deep learning is the new frontier for artificial intelligence. The technology simulates brain activities by using billions of training examples similar to the way neurons operate. Deep neural networks are trained with GPU cluster with tens of thousands of processors. Applications of the technology include machine vision, physics, biology, transport and IoT.
This presentation will introduce deep learning for machine vision. This technology could be used in smart manufacturing, health care, MedTech or sport. Defect detection or automatic disease diagnosis could be possible by examining machine-generated images.
Dr Wanli Ouyang is a senior lecturer in software engineering at the School of Electrical and Information Engineering at the University of Sydney. His work on computer vision is highly cited (H-Index ranking as 65th in Australia on Computer Science, According to www.aminer.org, he ranks as the 79th on computer vision in the world, one of the two researchers ranking top-100 in Australia).