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Machine learningDeep learning / NLP / CV

Mafunzo ya Uhamisho kwa Uainishaji unaotumia BERT

Mafunzo ya Uhamisho kwa Uainishaji unaotumia BERT hubadilisha mfumo mkuu wa lugha wa transformer, uliofunzwa awali kwenye makusanyo makubwa ya maandishi, kwa kazi lengwa ya uainishaji kwa kufinifini uzito wake kwenye mifano yenye lebo. Uwakilishi uliofunzwa awali huweka maarifa tajiri ya kisintaksia na kisemantiki, kuwezesha usahihi wa juu hata wakati seti ya data yenye lebo ni ndogo.

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Vyanzo

  1. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT 2019, 4171–4186. Association for Computational Linguistics. DOI: 10.18653/v1/N19-1423
  2. Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359. DOI: 10.1109/TKDE.2009.191

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Transfer Learning with BERT-based Text Classification. ScholarGate. https://scholargate.app/sw/deep-learning/transfer-learning-with-bert-based-classification

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ScholarGateTransfer Learning with BERT-based Classification (Transfer Learning with BERT-based Text Classification). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/transfer-learning-with-bert-based-classification · Seti ya data: https://doi.org/10.5281/zenodo.20539026