Accelerating the Inference Phase in Ternary Convolutional Neural Networks Using Configurable Processors

Sivakumar Chidambaram, Alexandre Riviello, J. M. Pierre Langlois and Jean Pierre David

Paper (2018)

An external link is available for this item

Department:	Department of Electrical Engineering Department of Computer Engineering and Software Engineering
Research Center:	GR2M - Microelectronics and Microsystems Research Group
ISBN:	9781538682371
PolyPublie URL:	https://publications.polymtl.ca/42397/
Conference Title:	Conference on Design and Architectures for Signal and Image Processing (DASIP 2018)
Conference Location:	Porto, Portugal
Conference Date(s):	2018-10-10 - 2018-10-12
Publisher:	IEEE
DOI:	10.1109/dasip.2018.8596860
Official URL:	https://doi.org/10.1109/dasip.2018.8596860
Date Deposited:	18 Apr 2023 15:03
Last Modified:	25 Sep 2024 16:28

Cite in APA 7:	Chidambaram, S., Riviello, A., Langlois, J. M. P., & David, J. P. (2018, October). Accelerating the Inference Phase in Ternary Convolutional Neural Networks Using Configurable Processors [Paper]. Conference on Design and Architectures for Signal and Image Processing (DASIP 2018), Porto, Portugal. https://doi.org/10.1109/dasip.2018.8596860
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only