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A statistical approach to provide explainable convolutional..:
Akbarzadeh, Saman
;
Ahderom, Selam
;
Alameh, Kamal
https://ro.ecu.edu.au/ecuworkspost2013/7516. , 2019
Link:
https://ro.ecu.edu.au/ecuworkspost2013/7516
RT Journal T1
A statistical approach to provide explainable convolutional neural network parameter optimization
UL https://suche.suub.uni-bremen.de/peid=base-ftedithcowan:oai:ro.ecu.edu.au:ecuworkspost2013-8521&Exemplar=1&LAN=DE A1 Akbarzadeh, Saman A1 Ahderom, Selam A1 Alameh, Kamal PB Edith Cowan University, Research Online, Perth, Western Australia YR 2019 K1 [RSTDPub] K1 Convolutional neural network K1 Deep learning K1 Design of experiment K1 Hyperparameter K1 Optimization K1 TaguchiDeep learning K1 Deep neural networks K1 Design of experiments K1 Image processing K1 Neural networks K1 Taguchi methods K1 Classification accuracy K1 Comparison analysis K1 Hyper-parameter K1 Network optimization K1 Parameter optimization K1 State of the art K1 Statistical approach K1 Convolution K1 Engineering JF https://ro.ecu.edu.au/ecuworkspost2013/7516 LK http://dx.doi.org/https://ro.ecu.edu.au/ecuworkspost2013/7516 DO https://ro.ecu.edu.au/ecuworkspost2013/7516 SF ELIB - SuUB Bremen
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