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A quantitative review of automated neural search and on-device learning for tiny devices
This paper presents the state-of-the-art review of the different approaches for Neural Architecture Search targeting resource constrained
devices such as microcontrollers. As well as the implementations of On-Device learning techniques for those devices.
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