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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

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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

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This project has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 and Specific Grant Agreement No 101036168 (EPI SGA2). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland.

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