Long Short-Term Memory (LSTM)
Long Short-Term Memory (LSTM) ni usanifu wa mtandao wa neva unaojirudia wenye milango, ulioanzishwa na Hochreiter na Schmidhuber mnamo 1997. Uliundwa kujifunza utegemezi katika mifuatano mirefu kwa kutumia seli maalum za kumbukumbu na milango mitatu iliyojifunza — ya kusahau, ya kuingiza, na ya kutoa — ambayo hudhibiti taarifa gani inahifadhiwa, inasasishwa, au inapitishwa mbele katika kila hatua ya muda.
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Vyanzo
- Hochreiter, S. & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735 ↗
- Graves, A., Mohamed, A.-R. & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. Proceedings of ICASSP 2013, pp. 6645–6649. IEEE. DOI: 10.1109/ICASSP.2013.6638947 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Long Short-Term Memory Network (LSTM). ScholarGate. https://scholargate.app/sw/deep-learning/long-short-term-memory
Which method?
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.
- Uainishaji unaotumia BERTUjifunzaji wa Kina↔ compare
- Gated Recurrent Unit (GRU)Ujifunzaji wa Kina↔ compare
- Mtandao wa Nyuro UnaojirudiaUjifunzaji wa Kina↔ compare
- Sentence Embeddings (Vibandiko vya Sentensi)Ujifunzaji wa Kina↔ compare
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