Deep Belief Networks at Heart of NASA Image Classification

September 21, 2015 Nicole Hemsoth Deep learning algorithms have pushed image recognition and classification to new heights over the last few years, and those same approaches are now being moved into more complex image classification areas, including satellite imagery. Without making light of the complexity of say, picking out a single face in a crowd of many thousands, satellite data has its own diverse array of challenges—enough of them to outpace what is currently used for general image recognition at the likes of Facebook, Google, and elsewhere. Spurred by the need for neural networks capable of tackling vast wells of high-res satellite data, a team from the NASA Advanced Supercomputing Division at NASA Ames have sought a new blend of deep learning techniques that can build on existing neural nets…


Link to Full Article: Deep Belief Networks at Heart of NASA Image Classification