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Investigating the Impact of Dataset Size on Model Complexit..:
, In:
2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)
,
K S, Shruthi
;
B, Naveen
;
S, Shivashankara
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICRASET59632.2023.10420294
RT T1 <cTitle>2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)</cTitle>: T1 <Title>Investigating the Impact of Dataset Size on Model Complexity for Leaf Disease Recognition using CNN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10420294&Exemplar=1&LAN=DE A1 K S, Shruthi A1 B, Naveen A1 S, Shivashankara YR 2023 K1 Deep learning K1 Plant diseases K1 Biological system modeling K1 Computational modeling K1 Training data K1 Data models K1 Convolutional neural networks K1 CNN K1 Computational requirement K1 Hyperparameters K1 Limited dataset K1 Tomato leaf disease detection SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICRASET59632.2023.10420294 DO https://doi.org/10.1109/ICRASET59632.2023.10420294 SF ELIB - SuUB Bremen
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