OpenCL accelerated deep learning for visual understanding

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Jeremy Bottleson, SungYe Kim, Jeff Andrews, Preeti Bindu, Deepak N. Murthy, Joseph S. Spisak, Jingyi Jin

Published: 2015, Last Modified: 04 Nov 2025IWOCL 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Visual understanding is a broad term used to describe efforts to extract meaning and knowledge from images computationally. Much effort has been spent by researchers to develop methods to allow for information to be gained from images the way humans do. However, it has proven to be a very difficult problem. Since the 1950s researchers have been attempting to come up with better methods of understanding images. The results however were generally very limited in application and far worse than what an average person was capable of.