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Distance Metrics in Machine Learning
Fondamentaal yi
GUIDE bu am solo
Triplet ñàkk ak jàng metric
Triplet loss dafay jàngal reso neuronal bi ñu def mbir yu nuru yu jege seen biir ak mbir yu wuute yu sori seen biir ci benn espace embedding.
Déglul tegtal biiIA-nettali · ~2 min
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Résumé
It is the foundation behind face recognition, image search, and recommendation systems that need to compare things rather than just classify them.
Plongeur bu xóot
Jàngum metrik dafay tàggat ab model ngir defar ay embedding, ay vecteur yu distance di wane nuru. Triplet loss dafay jëfandikoo ñetti dugal benn yoon: benn ancre, benn positif (benn klaas ak ancre bi), ak benn negatif (klaas bu wuute). Mébet bi mooy puus ancre bi mu gëna jege positif bi moo gën negatif bi ci marge bu fiks. Ci anam wu jaar yoon, perte bi mooy max(0, d(a,p) - d(a,n) + marge), foofu d dafay faral di nekk distance euclideen. FaceNet 2015 bu AIU_PROTECTED_11_ moo siiwal xeetu liggéey boobu, di jàng ci saasi ni ñuy boolee kanam yu am 128 dimension. Gunaaw buñu tàggatee, dangay méngale ñaari mbir ci xayma distance, soxlawul tàggataat ngir dàntite yu bees. Bii open-set mën mën moo waral kàttanu njàngum metric xool ak seetlu liggéey mënul yomb jëfandikoo.
Doxal ci àdduna dëgg
Saytu kanam bu nuroo ak FaceNet: telefon yi ak buntu paspoor yi dañuy firndeel dàntite bi ci xool ndax ñaari kanam yuñ samp dañu daanu ci diggante bu sori.
Seetug produit buñy gis: sit e-commerce yi dañuy may ñiy jënd ñu yebbi ay nataal ba noppi ñu am mbir yu ñuy nuru ci seeni dëkkandoo yu gëna jege.
Saytu kàddukat bi: assistant vocal yi dañuy dugal misaalu baat ba noppi méngale ko ak profil biñ bind ngir xam kan mooy wax.
Siñaale ak saytu bind loxo: bànk yi dañuy dugal royuwaay ak laaj siñaale ak bandera forgeries su distance bi weesee marge bi ñu jàng.
Ëlëgu ñàkk Triplet ak jàng metric
Perte triplet bu sell dafay gëna wecci ay mébet yu bari yu melni nuru yu bari, proxy-anchor, ak perte yu wuute (InfoNCE) yuy méngale ñaar yu bari ci jéego bu nekk ba noppi di gëna gaaw ci daje. Pexe yu ñuy saytu seen bopp yu melni SimCLR dañuy wane ni jàngu metric mën na dox te du am etiket ndax dafay jàppee gis-gis yu gëna yokk ni lu baax. Bi base de done vecteur yi ak jëmmal gëna yokk, jàngat yiñ jàng dañuy jàppale seetlu semantik ci escale bu am ay miliyaar ciy mbir, kon xalaat bu mag bi ci distance-as-similarity dafay gëna am solo, doonte formulation triplet bi dafay jeex.
Teg ko ci jëf
Lu tax mu am solo
- dogal yu gëna leer. Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
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- Ekip ak def liggéey. Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Moytul
- 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.
Jéego yi ci topp
- 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 Triplet Loss ak Metric Learning dimbali ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the Triplet Loss and Metric Learning quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is Triplet Loss and Metric Learning?
Triplet loss dafay jàngal reso neuronal bi ñu def mbir yu nuru yu jege seen biir ak mbir yu wuute yu sori seen biir ci benn espace embedding. Mooy fundamaa bi ci ginaaw sistemu xàmmee kanam yi, seetlu nataal yi, ak sistem yiy baaxal nit ñi, te dañu wara méngale mbir yi, duñu leen xaaj rek.
Lan mooy ñatti dugal yi nga xamni ñooy triplet ci triplet perte?
Triplet amna benn ancre, benn positif bu bokk klaas ancre bi, ak benn negatif bu bawoo ci beneen klaas.
Lu tax ñàkka am ñatti yoon ñu boole ci marge?
Su benn marge amul, model bi mën na xayma lépp ci benn poñ, def distance yépp nul te baña satisfaire perte bi. Marge bi dafay forse tàqalu dëgg.
Ban sistem bu siiw ci 2015 moo siiwal ñàkka am ñatti doom ngir xàmmee kanam gi?
FaceNet bu Google dafa jëfandikoo ñàkka am ñatti yoon ngir jàng jëmmal kanam gu dëgër ba noppi def benn référence ci xool kanam.
Lan la xeetu jàngu metrik buñ tàggat di def ci bépp dugal?
Modèle bi dafay wane dugal yi ci vecteur yiñ samp; Ginaaw loolu nga méngale mbir yi ci natt diggante bi am ci seen biir.
Lan moo waral jàngu metrik méngoo bu baax ak jafe-jafe yu ubbeeku yu melni yokk kanam yu bees?
Ndax xàmmee gi mingi aju ci distance bi ciy dugg, mën nga bind dàntite bu bees ci denc limu dugg ci, soxlawul ñu defaraat model bi.
Weyal di jàng
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