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Machine learningDeep learning / NLP / CV

Mtandao wa Convolutional unaobadilika kwa Kikoa

Mtandao wa CNN unaobadilika kwa kikoa hufunza mtandao wa convolutional kwenye kikoa cha chanzo kilicho na lebo na kuibadilisha uwakilishi wake wa vipengele vilivyojifunza kwa kikoa cha lengo kisicho na lebo au chenye lebo kidogo, ukijaza pengo la usambazaji ili visaidizi vya kuona vihamishwe kwa uhakika kati ya seti za data, vitambuzi, au hali za upigaji picha bila kuandikwa upya kikamilifu.

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Vyanzo

  1. Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V. (2016). Domain-adversarial training of neural networks. Journal of Machine Learning Research, 17(59), 1–35. link
  2. Tzeng, E., Hoffman, J., Saenko, K., & Darrell, T. (2017). Adversarial discriminative domain adaptation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7167–7176. DOI: 10.1109/CVPR.2017.316

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Domain-adaptive Convolutional Neural Network (DA-CNN). ScholarGate. https://scholargate.app/sw/deep-learning/domain-adaptive-convolutional-neural-network

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Imerejelewa na

ScholarGateDomain-adaptive Convolutional Neural Network (Domain-adaptive Convolutional Neural Network (DA-CNN)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/domain-adaptive-convolutional-neural-network · Seti ya data: https://doi.org/10.5281/zenodo.20539026