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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Detalles Bibliográficos
Autores principales: Novac, Pierre-Emmanuel, Boukli Hacene, Ghouthi, Pegatoquet, Alain, Miramond, Benoît, Gripon, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122998/
https://www.ncbi.nlm.nih.gov/pubmed/33922868
http://dx.doi.org/10.3390/s21092984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122998/
https://www.ncbi.nlm.nih.gov/pubmed/33922868
http://dx.doi.org/10.3390/s21092984

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