Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic

With increasing real-time constraints being put on the use of Deep Neural Networks (DNNs) by real-time scenarios, there is the need to review information representation. A very challenging path is to employ an encoding that allows a fast processing and hardware-friendly representation of information...

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Detalles Bibliográficos
Autores principales: Cococcioni, Marco, Rossi, Federico, Ruffaldi, Emanuele, Saponara, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085555/
https://www.ncbi.nlm.nih.gov/pubmed/32164152
http://dx.doi.org/10.3390/s20051515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085555/
https://www.ncbi.nlm.nih.gov/pubmed/32164152
http://dx.doi.org/10.3390/s20051515

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