Reseau neuronal konvolusionel
Reseau neuronal convolutionnel (CNNs) mooy arsitektir bi gëna am solo ngir xam nataal yi.
Résumé
They learn visual patterns by sliding small filters across a picture, which is why they power everything from face unlock to medical scan analysis.
Plongeur bu xóot
CNN dafay jëfandikoo ab nataal ci di gliise ay griy yu ndaw yu am poids, ñu leen di woowe filtre wala kernel, ci pixel yi. Filtre bu nekk dafay xool benn motif, lu ci melni benn catu, benn blob melo, wala benn koñ. Layer yu njëkk yi dañuy gis màndarga yu yomb; diisaay yu gëna xóot yi dañu leen boole ñu nekk bët, pëno wala mbind. Ndax benn filtre bi lañuy jëfandikoowaat ci bépp barab (seddale diisaay), CNN soxla na parametre yu néew lool ci reso bu mat te mën na gis muus muy feeñ ci kaw-cammoy wala ci suuf-ndeyjoor. Pooling layers yi dañuy wàññi nataal bi ci diggante jéego yi, tax reso bi gëna gaaw ba noppi gëna mëna muñ coppite yu ndaw. Design yu am solo yu melni LeNet, AlexNet (2012), ak ResNet ñoo jiite njàng mu xóot mi, ak ndam li AlexNet am ci ImageNet moo jur jamonoy xam-xam bu bees bi.
Gis-gis xarala
Li gëna am solo mooy convolution: dañuy def filtre (maanaam 3x3 poids) ci kaw pixel yu bari, poid bu nekk ñu yokk ko ci pixel bi, ba noppi ñu boole resultaa yi ci benn nimero buy génn. Soo gliisee filtre bi dafay génne kàrtu màndarga. Ñaari xalaat ñoo tax lii am njariñ: séddoo diisaay (benn filtre ñuy jëfandikoowaat fépp) ak lëkkaloo ci gox bi (neuron bu nekk dafay gis gox bu ndaw). Konvolusioŋ buñ dajale, amul benn rëdd bu melni ReLU, ak pooling dafay tax reso bi tabax hierarchie buy gëna abstrait ci anam yi ñuy gisee.
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 Reseau Neural Convolutionnel
CNN yi ñooy gëna am doole ci wàllu gis-gis ci jamono dëgg ak jumtukaay yu néew, lu ci melni kamera telefon ak gis-gis dawal sa bopp, ndax dañu gaaw te baax ci done. Vision Transformers leegi dañu leen di xëccoo wala di leen raw ci ay done yu bari, kon barab bi mingi jëm ci jëmmal hybrid yu boole njariñu convolution ak xalaat global. Xaarandi CNNs ngir wéy ci ay aparey yuñ samp ak yu yam, ci nataali medsin fu done yi néew, ak nekk ay extracteur yu am doole yuy dundal sistem yu gëna mag ci ay at ci kanam.
Doxal ci àdduna dëgg
Gis tumër yi, fracture yi, ak retinopathie diabétique ci rayon X yi, scanner CT yi ak nataali retine yi
Xamme kanam gu am doole ngir tijji telefon bi ak etiketu nataal ci aplikaasioŋ yu melni Google Nataal
Liggéeyu pano mbedd yi, màrku yoon yi, ak doxkat yi ci sistem yiy gis oto yuy dawal seen bopp
Dafay màndargaal ci saasi produit yi am sikk ci ligne montage usine bi jaaraleko ci saytu kamera
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.
Këyit fi Reseau Neural Convolutionnel di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Reseau neuronal graphique
Laaj yi ñuy faral di laaj
What is Convolutional Neural Networks?
Reseau neuronal convolutionnel (CNNs) mooy arsitektir bi gëna am solo ngir xam nataal yi. Dañuy jàng motif yi ñuy gis ci gliise ay filtre yu ndaw ci kaw nataal bi, moo tax ñuy dooleel lépp dalee ko ci ubbi kanam gi ba ci jàngat scanner medikaal.
Lan mooy liggéeyu filtre (kernel) ci CNN?
Filtre mooy benn griy bu ndaw bu am poids buy gliise ci kaw nataal bi, su gisee motif bimu jàng, lu ci melni catu nataal bi wala texture bi, mu tàmbali liggéey.
Lan moo waral CNN soxla ay parametre yu néew lool ci reso bu mat sëkk ngir nataal yi?
Séddoo diisaay dafay tekki ni benn filtre bu ndaw lañuy jëfandikoo fépp ci nataal bi, suko defee reso bi jëfandikoowaat benn diisaay bi ci barabu jàng yeneen yu wuute ngir barabu pixel bu nekk.
Lu layer pooling di faral di def?
Pooling (lu melni max pooling) dafay wàññi misaali kàrtu man-man yi, wàññi xayma yi, ba noppi tax reso bi gëna néew yëg-yëg ci barab bi man-man bi di feeñ.
Ci CNN bu xóot bi, naka la man-man yi di soppikoo ci layer yu njëkk yi dem ci layer yu ci topp yi?
Couche yu njëkk yi dañuy gis màndarga yu woyof yu melni boor yi ak melo yi; layers yu gëna xóot yi dañu leen boole ci konsept yu gëna kawe yu melni kanam yi wala cër yi.
Ban xew-xew lañu gëna wax ni moo tàmbali njàng mu xóot ci wàllu gis-gis ci jamono jii?
Ndam li AlexNet am ci ImageNet ci 2012, jëfandikoo CNN bu xóot ci kaw GPUs, dafa gëmloo gëstukat yi ni jàng bu xóot bi mën na raw njuréef yu yàgg yi, moo waral xam-xam bi gëna màgg.