ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

GAN Inayobadilika na Kikoa

GAN inayobadilika na kikoa huunganisha ujifunzaji wa kushawishi kwa kushawishi na marekebisho ya kikoa ili kuziba pengo la usambazaji kati ya kikoa cha chanzo kilicho na lebo na kikoa cha lengo kisicho na lebo au kilicho na lebo kidogo. Kwa kufunza jenereta na kizuizi kwa kushawishi, mfumo hujifunza uwakilishi usio na kikoa au sampuli zilizotafsiriwa, kuwezesha mkalasi au kipekechaji kilichofunzwa kwenye data ya chanzo kuenea kwa ufanisi kwa kikoa cha lengo bila kuhitaji lebo nyingi za lengo.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniPakua slaidi

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Vyanzo

  1. Ganin, Y., Ustunova, 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. Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017). Unpaired image-to-image translation using cycle-consistent adversarial networks. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2223–2232. DOI: 10.1109/ICCV.2017.244

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Domain-Adaptive Generative Adversarial Network. ScholarGate. https://scholargate.app/sw/deep-learning/domain-adaptive-gan

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Imerejelewa na

ScholarGateDomain-adaptive GAN (Domain-Adaptive Generative Adversarial Network). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/domain-adaptive-gan · Seti ya data: https://doi.org/10.5281/zenodo.20539026