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Machine learningDeep learning / NLP / CV

Transformer Inayojisimamia Kujifunza

Transformer inayojisimamia kujifunza ni mtandao wa Transformer uliopatiwa mafunzo ya awali kwa kutumia ishara za usimamizi zilizojengwa kiotomatiki — kama vile utabiri wa tokeni iliyofichwa au utabiri wa sentensi inayofuata — badala ya lebo zilizowekwa na binadamu. Uwakilishi unaotokana kisha hurekebishwa vizuri au kuchunguzwa kwenye kazi za chini. BERT, GPT, na ViT (Vision Transformer katika hali ya uundaji wa picha zilizofichwa) ndio mifano inayojulikana zaidi ya dhana hii.

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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. Proceedings of NAACL-HLT 2019, 4171–4186. DOI: 10.18653/v1/N19-1423
  2. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention Is All You Need. Advances in Neural Information Processing Systems, 30. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Self-supervised Transformer (Pretraining with Self-generated Supervision). ScholarGate. https://scholargate.app/sw/deep-learning/self-supervised-transformer

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateSelf-supervised Transformer (Self-supervised Transformer (Pretraining with Self-generated Supervision)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/self-supervised-transformer · Seti ya data: https://doi.org/10.5281/zenodo.20539026