ComputingComputer ScienceHigh-performance ComputingCluster ComputingComputer VisionMachine LearningDeep LearningMachine Learning For Big DataObject RecognitionPattern RecognitionRepresentation LearningScalable Machine LearningCuda ProgrammingDeep Learning For Big DataDeep Learning-based ClassificationLarge-scale Computer VisionUser Scenarios
Deep neural networks (DNN) achieved significant breakthrough in vision recognition in 2012 and quickly became the leading machine learning algorithm in Big Data based large scale object recognition applications. The successful deployment of DNN based applications pose challenges for a cross platform software framework that enable multiple user scenarios, including offline model training on HPC clusters and online recognition in embedded environments. Existing DNN frameworks are mostly focused on a closed format CUDA implementations, which is limiting of deploy breadth of DNN hardware systems.
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text