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Difference between revisions of "neural processor"

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{{title|Neural Processing Unit (NPU)}}
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{{title|Neural Processor}}
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A '''neural processing unit''' ('''NPU''') or a '''neural processor''' is a [[microprocessor]] that [[application-specific microprocessor|specializes]] in the [[hardware acceleration|acceleration]] of [[machine learning]] algorithms, typically by operating on [[predictive models]] such as [[artificial neural network]]s (ANNs) or [[random forest]]s (RFs).
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A '''neural processor''' or a '''neural processing unit''' ('''NPU''') is a [[microprocessor]] that [[application-specific microprocessor|specializes]] in the [[hardware acceleration|acceleration]] of [[machine learning]] algorithms, typically by operating on [[predictive models]] such as [[artificial neural network]]s (ANNs) or [[random forest]]s (RFs).
  
 
NPUs sometimes go by similar names such as a ''tensor processing unit'' (''TPU''), ''neural network processor'' (''NNP'') and ''intelligence processing unit'' (''IPU'') as well as ''vision processing unit'' (''VPU'') and ''graph processing unit'' (''GPU'').
 
NPUs sometimes go by similar names such as a ''tensor processing unit'' (''TPU''), ''neural network processor'' (''NNP'') and ''intelligence processing unit'' (''IPU'') as well as ''vision processing unit'' (''VPU'') and ''graph processing unit'' (''GPU'').

Revision as of 23:29, 20 November 2017

A neural processor or a neural processing unit (NPU) is a microprocessor that specializes in the acceleration of machine learning algorithms, typically by operating on predictive models such as artificial neural networks (ANNs) or random forests (RFs).

NPUs sometimes go by similar names such as a tensor processing unit (TPU), neural network processor (NNP) and intelligence processing unit (IPU) as well as vision processing unit (VPU) and graph processing unit (GPU).

Examples

  • Google's TPU
  • Intel's Nervana NNP
  • Nvidia's Volta (implements tensor cores)
  • Bitmain's Sophon


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