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Machine learningDeep learning / NLP / CV

Mtandao wa Tabaka Nyingi Wenye Usimamizi Dhaifu

Mtandao wa Tabaka Nyingi Wenye Usimamizi Dhaifu hufunza mtandao wa neva wa kawaida wa mbele wakati usimamizi usio kamili unapatikana — lebo zinaweza kuwa na makosa, hazijakamilika, zimetokana na umati, zimetokana na sheria, au zimetokana na usimamizi wa mbali — kuwezesha kujifunza kwa kiwango kikubwa bila gharama ya ufafanuzi kamili wa wataalamu.

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Ramani ya mbinu

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Vyanzo

  1. Zhou, Z.-H. (2018). A brief introduction to weakly supervised learning. National Science Review, 5(1), 44–53. DOI: 10.1093/nsr/nwx106
  2. Ratner, A. J., De Sa, C. M., Wu, S., Selsam, D., & Re, C. (2016). Data programming: Creating large training sets, quickly. Advances in Neural Information Processing Systems (NeurIPS), 29. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Weakly Supervised Multilayer Perceptron. ScholarGate. https://scholargate.app/sw/deep-learning/weakly-supervised-multilayer-perceptron

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Imerejelewa na

ScholarGateWeakly supervised multilayer perceptron (Weakly Supervised Multilayer Perceptron). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/weakly-supervised-multilayer-perceptron · Seti ya data: https://doi.org/10.5281/zenodo.20539026