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Machine learningDeep learning / NLP / CV

Transfer Learning dengan Klasifikasi Berbasis BERT

Transfer Learning dengan Klasifikasi Berbasis BERT mengadaptasi model bahasa transformer besar, yang telah dilatih sebelumnya pada korpora teks masif, ke tugas klasifikasi target dengan menyempurnakan bobotnya pada contoh berlabel. Representasi yang telah dilatih sebelumnya mengkodekan pengetahuan sintaktis dan semantik yang kaya, memungkinkan akurasi tinggi bahkan ketika dataset berlabel kecil.

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Sumber

  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

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Transfer Learning with BERT-based Text Classification. ScholarGate. https://scholargate.app/id/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). Diakses 2026-06-15 dari https://scholargate.app/id/deep-learning/transfer-learning-with-bert-based-classification · Set data: https://doi.org/10.5281/zenodo.20539026