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Machine learning

Long Short-Term Memory Network

Mtandao wa kawaida unaojirudia hupata shida kusafirisha taarifa katika milolongo mirefu kwa sababu ishara ya kujifunza hupungua kadiri inavyohitaji kufikia mbali zaidi nyuma. LSTM hupatia suluhisho hili kwa kumpa kila kitengo seli ya kumbukumbu inayoweza kuhifadhi thamani kwa muda, pamoja na milango (gates) inayodhibiti kile cha kukumbuka, kile cha kusahau, na kile cha kupitisha. Kwa hivyo, mtandao unaweza kuunganisha matukio yaliyo mbali katika mlolongo, ambayo ndiyo hasa yanayohitajika na matatizo ya mfululizo wa muda na mlolongo.

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Vyanzo

  1. Hochreiter, S. & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780. DOI: 10.1162/neco.1997.9.8.1735

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Long Short-Term Memory Network. ScholarGate. https://scholargate.app/sw/deep-learning/lstm

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Imerejelewa na

ScholarGateLSTM (Long Short-Term Memory Network). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/lstm · Seti ya data: https://doi.org/10.5281/zenodo.20539026