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Difference between revisions of "neural processor"
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A '''Neural Processing Unit''' ('''NPU''') or a '''Tensor Processing Unit''' ('''TPU''') is a [[microprocessor]] that [[application-specific microprocessor|specializes]] in the acceleration of [[machine learning]] algorithms, typically by operating on [[predictive models]] such as [[artificial neural network]]s (ANNs) or [[random forest]]s (RFs). | A '''Neural Processing Unit''' ('''NPU''') or a '''Tensor Processing Unit''' ('''TPU''') is a [[microprocessor]] that [[application-specific microprocessor|specializes]] in the 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 '''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 '''Neural Network Processor''' ('''NNP''') and '''Intelligence Processing Unit''' ('''IPU''') as well as '''Vision Processing Unit''' ('''VPU''') and '''Graph Processing Unit''' ('''GPU'''). |
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Revision as of 23:22, 6 November 2017
A Neural Processing Unit (NPU) or a Tensor Processing Unit (TPU) 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 Neural Network Processor (NNP) and Intelligence Processing Unit (IPU) as well as Vision Processing Unit (VPU) and Graph Processing Unit (GPU).
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