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

EPI Consortium members published “AFast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic” in the Sensors 2020, 20(05), 1515.

Here you can find a link to an open access version of the article:

https://www.mdpi.com/1424-8220/20/5/1515

DOI: https://doi.org/10.3390/s20051515

« Back to the publications

Publication Type: Journal Article

Year of Publication: 2020

Authors: Emanuele Ruffaldi - Federico Rossi - Marco Cococcioni - Sergio Saponara

Publisher: MDPI

Name of publication/Event: Sensors

ISSN Number: EISSN 1424-8220

Keywords:

URL: https://www.mdpi.com/1424-8220/20/5/1515

Our website uses cookies to give you the most optimal experience online by: measuring our audience, understanding how our webpages are viewed and improving consequently the way our website works, providing you with relevant and personalized marketing content. You have full control over what you want to activate. You can accept the cookies by clicking on the “Accept all cookies” button or customize your choices by selecting the cookies you want to activate. You can also decline all cookies by clicking on the “Decline all cookies” button. Please find more information on our use of cookies and how to withdraw at any time your consent on our privacy policy.

Accept all cookies

Decline all cookies

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

follow us