Quantization and Deployment of Deep Neural Networks on Microcontrollers

Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed on embedded targets to perform different tasks such as speech recognition, object...

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Autors principals:	Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-04-01
Col·lecció:	Sensors
Matèries:	embedded systems artificial intelligence machine learning quantization power consumption microcontrollers
Accés en línia:	https://www.mdpi.com/1424-8220/21/9/2984
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