Tasaaro ci ginaaw
Backpropagation mooy algorithm biy may reso neuronal bi mu jàngee ci njuumteem yi ci xayma bu baax ba ñaata poid bu nekk bokk ci njuumte bi.
Résumé
Mooy motër bi ci ginaaw daanaka bépp tàggat-yaram bu xóot bu bees.
Plongeur bu xóot
Su reso neuronal waxee luy waaja am, dafay defar ay njuumte yuñ natt ci fonction perte. Backpropagation tontu laaj bu am solo: naka la bu nekk ci milioŋ yu bari yi ci poid yi wara soppiku ngir wàññi njuumte boobu? Ni ñu koy defee mooy jëfandikoo sàrtu chaine bi tàmbalee ci calcul, mu dellu ginaaw daale ko ci couche biy génn dem ba ci couche biy dugg. Siñaale njuumte bi dafay jaar ci reso bi, ci couche bu nekk algorithm bi dafay xayma gradient bi, yoon wi ak bariwaayu poids bu nekk wara toxal. Li gëna am solo ci li Rumelhart, Hinton, ak Williams siiwal ci 1986 mooy ni mën nañu jëfandikoowaat resultaa yi ci digg yi, suko defee xayma bi gëna am njariñ. Su backpropagation amul, tàggat ab reso bu xóot bu am ay miliyaar ciy parametre amul benn yaakaar ci wàllu ordinatër.
Gis-gis xarala
Backpropagation dafay dox ci ñaari yoon. Paas bi ci kanam mooy xayma li ñuy séentu ba noppi denc aktivaasioŋ yi ci digg bi. Dellu ginaaw dafay jëfandikoo sàrtu chaine bi: dafay yokk derivatif lokal yi couche par couche, di tasaare gradient bi ci perte bi ci poid bu nekk. Li gëna am solo mooy, dafay cache ba noppi jëfandikoowaat ay derivatif yu pàcc ci barabu leen di xaymaat, suko defee njëg bi dafay des ci diggante benn pass forward. Degrade yi ciy génn dañu koy jox benn optimisatër bu melni wàcci degrade ngir yeesal poid yi.
njeextalu pexe
dogal yu gëna leer
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Njëgg ak budget
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Ekip ak def liggéey
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ëlëgu tasaare ci ginaaw
Backpropagation mingi wéy di nekk yax ci njàng mu xóot mi, waaye gëstukat yi dañuy saytu bu baax fimu yam. Njëg li ci mémoire bi dafay gëna yokk lu xóotaayu reso bi di gëna yokk, loolu mooy waral ay pexe yu melni saytu gradient ci model yu mag yi. Alternatif yiñ inspiré ci biologie, lu ci melni jàng ci kanam ak feedback, dañu bëgga dindi backprop ci diisaay yu symétrique ak siñaal njuumte global. Leegi amul benn xeetu njuréef bu méngoo ak njariñam ci yaatuwaayam, kon xaar backpropagation ngir model frontier yu am doole ci ay at ci jamono ji yeneen xeetu liggéey di màgg ci labo gëstu.
Doxal ci àdduna dëgg
Taggat benn xeetu nataal suko defee mu mëna defar ay filtre ngir xàmmee muus yi ak xaj yi ginaaw nataal bu nekk
Defar ab xeetu làkk bu yaatu ci këyitu liggéeyukaay bi ci backpropagating njuumte ci kàddu yi ci topp
Jàngale reso gis-gis bu oto buy dawal boppam ngir wàññi njuumti yi ci xayma angle volant bi ci diiru simulation
Yeesal embeddings model recommandation suko defee mu gëna xam ban film la jëfandikukat bi di klike
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Bindal fi Backpropagation di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Fonction yuy ñàkk
Laaj yi ñuy faral di laaj
Luy tasaare ci ginaaw?
Backpropagation mooy algorithm biy may reso neuronal bi mu jàngee ci njuumteem yi ci xayma bu baax ba ñaata poid bu nekk bokk ci njuumte bi. Mooy motër bi ci ginaaw daanaka bépp tàggat-yaram bu xóot bu bees.
Lan mooy jubluwaay bu njëkk ci tasaare ci ginaaw?
Backpropagation dafay xayma gradient biy ñàkk ci poids bu nekk, di wax optimiser bi ni ñu leen di def ngir wàññi njuumte yi.
Ban sàrtu math mooy xol backpropagation?
Backpropagation dafay jëfandikoo sàrtu chaine bi ngir boole ay derivatif yu dëkk bi ci diisaay yi, di tasaare gradient yu njuumte yi ci ginaaw ci reso bi.
Lan moo waral ñu jàpp ni backpropagation lu am njariñ la ci wàllu ordinatër?
Soo cache ay derivatif ak aktivasioŋ yu bawoo ci paas bi ci kanam, backpropagation dafay moytu xayma yu bari, di tëye njëg bi ci wetu benn paas ci kanam.
Ci ban yoon la tasaare ginaaw di xayma degrade yi?
Tur wi dafay wax lépp: njuumte dafay dem ba ci ginaaw, tàmbalee ci génne gi dem ba ci dugg gi, kon gradient bu couche bu nekk mingi aju ci couche bi ci topp.
Lan la backpropagation di defar lu optimiser bi di jëfandikoo?
Backpropagation dafay génne ay gradient, yu optimiser bu melni wàccinu degrade di jëfandikoo ngir yeesal diisaay yi ci wàll wi wàññi perte bi.