Njengoba kunikezwe lezi zigaba, ngitshele ukuthi inethiwekhi ye-neural ephindaphindayo iyini, nokuthi ihluke kanjani kunethiwekhi ye-neural ye-convolutional.
Context:Inethiwekhi ye-neural ephindaphindayo (i-RNN) isigaba senethiwekhi ye-neural yokufakelwa lapho ukuxhumana phakathi kwama-node kungakha umjikelezo, okuvumela ukuphuma kwamanye ama-node ukuthi kuthinte okokufaka okulandelayo kuma-node afanayo. Lokhu kuyayivumela ukuba ibonise ukuziphatha okuguquguqukayo kwesikhashana. Ivela kumanethiwekhi e-feedforward neural, ama-RNN angasebenzisa isimo sawo sangaphakathi (inkumbulo) ukucubungula ukulandelana kokungeniswa kobude obuguquguqukayo. Lokhu kuwenza asebenze emisebenzini enjengokuqashelwa kokubhala ngesandla okungahlukanisiwe, okuxhunyiwe noma ukuqashelwa kwenkulumo. Ngokombono ongokombono, amanethiwekhi e-neural aphindaphindiwe agcwele i-Turing futhi angaqhuba izinhlelo ezingahleliwe zokucubungula ukulandelana okungahleliwe kokungeniswa.  Igama elithi "recurrent neural network" lisetshenziselwa ukubhekisela esigabeni samanethiwekhi anempendulo yokugqugquzela engenamkhawulo, kanti elithi "convolutional neural network" libhekisela esigabeni sokuphendula kokugqugquzela okunqunyiwe. Zombili lezi zigaba zenethiwekhi zibonisa ukuziphatha okuguquguqukayo kwesikhashana. Inethiwekhi ephindaphindayo yokushaya okuphelile iyi- directed acyclic graph engahlehliswa futhi ithathelwe indawo yinethiwekhi ye-neural eqondile, ngenkathi inethiwekhi ephindaphindayo yokushaya okungenamkhawulo iyi- directed cyclic graph engeke idalulwe.  Zombili izinhlelo ze-finite impulse kanye ne-infinite impulse recurrent zingaba nezimo ezengeziwe ezigciniwe, futhi ukugcinwa kungalawulwa ngqo yinethiwekhi ye-neural. Isitoreji singabuye sithathelwe indawo ngenye inethiwekhi noma igrafu uma lokho kufaka ukubambezeleka kwesikhathi noma kunama-feedback loops. Izimo ezinjalo ezilawulwayo zibizwa ngokuthi isimo esivaliwe noma inkumbulo evaliwe, futhi ziyingxenye yamanethiwekhi enkumbulo yesikhathi esifushane (ama-LSTM) kanye namayunithi okuphindaphindeka avuliwe. Lokhu kubizwa nangokuthi i-Feedback Neural Network (FNN).
Inethiwekhi ye-neural ephindaphindayo iyisigaba senethiwekhi ye-neural yokufakelwa lapho ukuxhumana phakathi kwama-node kungakha khona umjikelezo, okuvumela ukuphuma kwamanye ama-node ukuthi kuthinte okokufaka okulandelayo kuma-node afanayo. Igama elithi "inethiwekhi ye-neural ephindaphindayo" lisetshenziselwa ukubhekisa ekilasini lenethiwekhi enempendulo yokugqugquzela engenamkhawulo, kanti i- "convolutional neural network" ibhekisa ekilasini lokuphendula kokugqugquzela okunqunyelwe.