Seetug arsitektu neuronal
Seetug Architecture Neural (NAS) dafay otomatise jëmmal reso neuronal yi — bàyyi algorithm yi, du nit ñi, ñu tànn ñaata layer, ban liggéey, ak ni ñuy boolee.
Résumé
It turns model design into a search problem, discovering architectures that can rival or beat hand-crafted ones.
Plongeur bu xóot
Nafar reso neuronal ak loxo lu yeex la te dafay aju ci yëg-yëgu kàngam. NAS dafa wecci loolu ak seetlu ci barab buñ joxe ci architecture yi mëna am, ñu teg ko ci pexe buy tànn kàndidaa yi ak anam wu ñuy xaymaa ni bu nekk ci ñoom baaxee. NAS yu njëkk ya dañu daan jëfandikoo njàng mu am doole wala algorithm yu jëm kanam, di tàggat ay junni reso kandidaa - lu siiw lool mooy njëg ay junni fan GPU. Jaar-jaar bi mooy gëna yombal seetlu bi: séddoo diisaay ('supernet' bu am kàndidaa yépp) ak pexe yu wuute yu melni DARTS, yuy féexal tànneef yu wuute ci yu wéy suko defee wàcci gradient mën gëna baaxal architecture ak diisaay ñoom ñaar. NAS defar na ay model yu am njariñ lu ci melni EfficientNet ak yeneen reso yuñ defaree mobile yu ñuy jëfandikoo leegi ci liggéey bi.
Gis-gis xarala
NAS amna ñatti mbir: barabu seetlu (blok yiñ tabax ak ni ñu mëna lëkkaloo), pexem seetlu (jàngat buy dooleel, jëm kanam, seetlu bu bari, wala bu sukkandiko ci gradient), ak njuréefi xayma liggéey. Taggat bépp kàndidaa ci convergence lu seer la, moo tax NAS dafay jëfandikoo gaawaay yu gàtt: séddoo diisaay ci supernet, proxy yu fidélité yu néew (jamono yu néew, done yu gëna ndaw), ak predictors yu jàng. DARTS dafay def tànneef bu wuute ci 'ban liggéey mooy dem fii' di wéy jaaraleko ci njaxas yu softmax-pondéré, gëna xéewale ak degrade yi, ba noppi tànnal njariñ li ci architecture bu mujj.
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 Seetug Architecture Neural
NAS mingi yaatu joge ci mébetu njub rek dem ba ci seetlu bu xam-xam, seetlu bu bari mébet buy boole latency, energie, ak mémoire ngir ay puce yuñ tànn - lu am solo ci edge ak mobile AI. Proxy yu amul benn njëg yuy rang architecture yi te kenn tàggatul, ñu ngi gaawlu seetlu bi bu baax. Bi transformateur yi di ëpp doole, NAS ñu ngi koy jëfandikoo ci motif yi, yaatuwaayu couche yi, ak configurations LLM yépp, ba noppi ñu boole ci pipeline yiy jàng masin otomatik. Frontier bi mooy boole jëmmal model ak hardware, ak ay bouclage seet yuy méngoo ci saasi ak ay jafe-jafe ci jëfandikoo gi.
Doxal ci àdduna dëgg
Google's famiy EfficientNet, moom mi nga xamni architecture bi dafa am eskaal buñ boole muy seetlu otomatik ngir am njubte bu dëgër ci FLOP bu nekk.
Modèlu vision mobile (lu melni MnasNet) seetee ak latency ci telefon dëgg ci loop ngir gaawaay ci aparey bi.
NAS bi xam hardware bi mooy méngale reso bi ak memory ak àppu ordinatër bu benn accelerator.
Platform AutoML yiy may ñi nekkul ay kàngam ñu am model buñ personaalise buy seetee ci saasi architecture yi.
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 Seetug Architecture Neural 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 Neural Architecture Search?
Seetug Architecture Neural (NAS) dafay otomatise jëmmal reso neuronal yi — bàyyi algorithm yi, du nit ñi, ñu tànn ñaata layer, ban liggéey, ak ni ñuy boolee. Dafay soppi jëmmal model ci jafe-jafe seetlu, gis architecture yu mëna xëcc wala raw yi ñu defaree loxo.
Lan mooy Seetug Architecture Neural?
NAS dafay otomatise tànneefi diisaay yi, liggéey yi, ak lëkkaloo yi — architecture bi ci boppam — moo gën ñuy wéeru ci jëmmal nit kese.
Yan ñatti mbir ñooy màndargaal anam NAS?
NAS dañu ko tëral ni barabu seetlu, pexem seetlu ngir jàngat ko, ak anam wu ñuy xaymaa liggéeyu kàndidaa bu nekk.
Lan moo tax ñu ŋàññi NAS bu njëkk bi lalu ci njàngum dooleel?
Taggat ay junni reso kandidaa def NAS yu njëkk yi seer lool ci ordinatër, di ñaax pexe yu gëna yomb.
Ban pexe DARTS di jëfandikoo ngir gëna yombal seetlu bi?
DARTS (Seetug Architecture bu wuute) dafay soppi tànneefi liggéey yu wuute ci njaxas bu wéy, softmax-pondéré suko defee wàccinu gradient bi di dox.
Luy 'supernet' ci NAS buy séddoo diisaay?
Supernet dafay laal bépp architecture bu am kàndidaa, te dafay séddoo poid yi ci seen biir, kon kàndidaa yi jarul ñu tàggat leen ci noonu rek.