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1 Ergebnisse
1
Visual interpretability for deep learning: a survey:
Zhang, Quan-shi
;
Zhu, Song-chun
Frontiers of Information Technology & Electronic Engineering. 19 (2018) 1 - p. 27-39 , 2018
Link:
https://doi.org/10.1631/fitee.1700808
RT Journal T1 <Title>Visual interpretability for deep learning: a survey</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1631_fitee.1700808&Exemplar=1&LAN=DE A1 Zhang, Quan-shi A1 Zhu, Song-chun PB Zhejiang University Press YR 2018 SN 2095-9184 SN 2095-9230 JF Frontiers of Information Technology & Electronic Engineering VO 19 IS 1 SP 27 OP 39 LK http://dx.doi.org/https://doi.org/10.1631/fitee.1700808 DO https://doi.org/10.1631/fitee.1700808 SF ELIB - SuUB Bremen
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