Publication | Closed Access
DjiNN and Tonic
165
Citations
39
References
2015
Year
Unknown Venue
Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningMachine Learning ToolAmazon EchoYogaData ScienceServer PlatformEmbedded Machine LearningMachine Learning ModelClub DrugComputer EngineeringComputer ScienceDeep LearningNeural Architecture SearchDeep Neural NetworksApple SiriBig Data
As applications such as Apple Siri, Google Now, Microsoft Cortana, and Amazon Echo continue to gain traction, web-service companies are adopting large deep neural networks (DNN) for machine learning challenges such as image processing, speech recognition, natural language processing, among others. A number of open questions arise as to the design of a server platform specialized for DNN and how modern warehouse scale computers (WSCs) should be outfitted to provide DNN as a service for these applications.
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