Daɣ titbaqqa tin, isaknu awa eqqalan rezo n eɣaf ezzaran tolas immik wa s izlay daɣ rezo n eɣaf wan convolutional
Context:Recurrent neural network (RNN) eqqal ichikil n rezo tan n artificial neural s addobat aharoj jir node tan ad eɣnin cycle, eha turhajat n intaj n node tan iyyad i ad ikrichan intaj i node tan wi olahan Awen itagu ye assəkən ən alxal ən amək ən amək ən azaman. Ijjanen daɣ feedforward neural networks, RNN tan addoben axadam n akal nasan wan ammas (ta-ite) i amukin n iddikud n tišijrit n isuj Awen ijjiš assahat nasan i alxidmaten chund unsegmented, connected handwriting recognition meɣ speech recognition Recurrent neural network tan aqqalan Turing complete tolas addoben axadam n program tan i amukin n iddikud n isalan  " Isim wan "recurrent neural network" eqqal a eqqalan fal taqqimt n rezo tan ilanen alwazab n alwazab war n ila akayad as ijja awen "convolutional neural network" eqqalan fal taqqimt n alwazab n alwazab imdan" Issin ichikilan n rezo tan issiknan alxal n amutti n azzaman Tazoliya tan anilkamnen ilanat samdo taqqal directed acyclic graph addoben ad eqqil anilkam tolas amutti net s neural network eqqalan hullan feedforward as ijja awen tazoliya tan anilkamnen war n ila samdo taqqal directed cyclic graph war addobat ad eqqil anilkam  Haratan fuk wi ilkamnen d wi war n ila akayad addoben ad ikrichan alɣalim tan ajjotnen tolas aɣazan addobat ad eqqil daw awikkal oɣadan n rezo n eɣaf Akayad adobat deɣqanen adiqilan ayknan as rezo iyan meɣ tabəlaten afal ijrawən assəmutiy ən azaman meɣ ijrawən assəmutiy ən assəmutiy. Tiɣaymaten tin awikkal nen s isim wan tiɣaymaten ilanen eɣaf meɣ amedran ilanen eɣaf tolas aqqalan achrut n rezo tan n amedran n azzaman chajren (LSTMs) d tiɣaymaten ilanen eɣaf Awen isim net Feedback Neural Network (FNN)
" Recurrent neural network eqqal ichikil n rezo tan n eɣanni tan s addobat anmirtay jir node tan ad eɣnan cycle, eha turhajat n intaj n node tan iyyad i ad ikrichan input i node tan wi olahan"