GPU implementation of a deep learning network for image recognition tasks
University of Iowa
University of Iowa, 2012
Image recognition and classification is one of the primary challenges of the machine learning community. Recent advances in learning systems, coupled with hardware developments have enabled general object recognition systems to be learned on home computers with graphics processing units. Presented is a Deep Belief Network engineered using NVIDIA’s CUDA programming language for general object recognition tasks.
March 12, 2013 by hgpu
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