Quantization and Deployment of Deep Neural Networks on Microcontrollers

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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Bibliographic Details
Main Authors: Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
embedded systems
artificial intelligence
machine learning
quantization
power consumption
microcontrollers
Online Access:https://www.mdpi.com/1424-8220/21/9/2984

Internet

https://www.mdpi.com/1424-8220/21/9/2984

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