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Resource-constrained FPGA/DNN co-design

Zhang, Zhichao and Kouzani, Abbas Z 2021, Resource-constrained FPGA/DNN co-design, Neural computing and applications, pp. 1-11, doi: 10.1007/s00521-021-06113-4.

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Title Resource-constrained FPGA/DNN co-design
Author(s) Zhang, Zhichao
Kouzani, Abbas ZORCID iD for Kouzani, Abbas Z orcid.org/0000-0002-6292-1214
Journal name Neural computing and applications
Start page 1
End page 11
Total pages 11
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2021-05-15
ISSN 0941-0643
1433-3058
Keyword(s) Computer Science
Computer Science, Artificial Intelligence
Deep neural network
Electrochemical sensing
Field-programmable gate array
Hardware-and-software co-design
Lempel-Ziv-Welch compression
Science & Technology
Technology
Notes In Press
Language eng
DOI 10.1007/s00521-021-06113-4
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1702 Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151659

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.