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... > entity > continuant > generically dependent continuant > information content entity > directive information entity > plan specification > algorithm > Neural networks models > convolutional neural network

Terme préférentiel

convolutional neural network  

Définition

  • a convolutional neural network (ConvNet) is a class of deep neural network, most commonly applied to analyze visual imagery.(Wikipedia, retrieved on 2021/07/02).

Concept générique

Synonyme(s)

  • CNN
  • ConvNet

Référence(s) bibliographique(s)

  • • LeCun, Y., Boser, B. E., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W. E., & Jackel, L. D. (1989.). Handwritten digit recognition with a back-propagation network. Proceedings of the 2nd International Conference on Neural Information Processing Systems (pp. 396-404).
  • • LeCun, Y., Boser, B. E., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W. E., & Jackel, L. D. (1990). Handwritten digit recognition with a back-propagation network. In Proceedings Advances in Neural Information Processing Systems, 396‑404.
  • • Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278‑2324. doi:10.1109/5.726791
  • • Valueva, M. V., Nagornov, N. N., Lyakhov, P. A., Valuev, G. V., & Chervyakov, N. I. (2020). Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Mathematics and Computers in Simulation, 177, 232‑243. doi:10.1016/j.matcom.2020.04.031

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URI

http://data.loterre.fr/ark:/67375/LTK-PZ0FQSKJ-2

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