ScholarGate
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Machine learning

Kitengo cha Kurudiana kilicho na Lango (GRU)

Kitengo cha Kurudiana kilicho na Lango (GRU) ni kiini cha mtandao wa neural kilicho na lango kilicholetwa na Cho na wenzake mwaka 2014 ambacho huchukua utegemezi wa muda mrefu katika data ya mlolongo kwa kutumia malango ya kusasisha na kufuta, na kufikia utendaji unaolinganishwa na LSTM na vigezo vichache zaidi.

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Vyanzo

  1. Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP. link
  2. Chung, J., Gulcehre, C., Cho, K. & Bengio, Y. (2014). Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. NIPS 2014 Deep Learning Workshop. arXiv:1412.3555 link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Gated Recurrent Unit. ScholarGate. https://scholargate.app/sw/deep-learning/gru

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Imerejelewa na

ScholarGateGRU (Gated Recurrent Unit). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/gru · Seti ya data: https://doi.org/10.5281/zenodo.20539026