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- W2941623246 abstract "Transfer learning introduces the ability to perform deep learning models over a small set of data. This paper investigates the utilization of three fine-tuned Convolutional Neural Networks (CNNs), namely, Alexnet, Googlenet, and Vgg16. Alexnet and Googlenet consider as the state-of-the-art models in deep learning, while Vgg16 preference due to its depth. Each model was fine-tuned, trained, and tested over a dataset contains Bosnian Banknotes (BAM). The dataset covers 11 classes where 10 images were collected through mobile phone camera for each class. Alexnet showed a better performance in terms of completing the training while Vgg16 showed better performance in terms of accuracy as it achieved 100% compared to 95.24% for Alexnet. Googlenet showed less efficient performance by achieving 88.65%." @default.
- W2941623246 created "2019-05-03" @default.
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- W2941623246 date "2019-04-27" @default.
- W2941623246 modified "2023-09-24" @default.
- W2941623246 title "Transfer Learning Utilization for Banknote Recognition: a Comparative Study Based on Bosnian Currency" @default.
- W2941623246 doi "https://doi.org/10.21533/scjournal.v8i1.172" @default.
- W2941623246 hasPublicationYear "2019" @default.
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