Mfu Triplet na mmụta metrik
Ọnwụ Triplet na-akuziri netwọkụ akwara ka idowe ihe ndị yiri ya na nso nso na ihe ndị yiri ya n'ebe dị anya n'ime oghere.
Nchịkọta
It is the foundation behind face recognition, image search, and recommendation systems that need to compare things rather than just classify them.
Ime miri emi
Mụta metrik na-azụ ihe nlere iji mepụta ihe mgbakwunye, vector ebe anya na-egosipụta myirịta. Ọnwụ Triplet na-eme nke a site na iji ntinye atọ n'otu oge: arịlịka, ihe dị mma (otu klas dị ka arịlịka), na ihe ọjọọ (klaasị dị iche iche). Ebumnobi a na-eme ka arịlịka nso nso n'ihe dị mma karịa nke na-adịghị mma site na opekata mpe oke. N'ezie, mfu bụ max (0, d (a,p) - d(a,n) + oke), ebe d na-adịkarị anya Euclidean. Google's 2015 FaceNet mere ka usoro a gbasaa, na-amụta ntinye ihu nwere akụkụ 128 ozugbo. Ozugbo a zụrụ azụ, ị na-atụnyere ihe abụọ ọ bụla site na ịgbakọ dị anya, ọ nweghị ọzụzụ achọrọ maka njirimara ọhụrụ. Ike a mepere emepe bụ ya mere mmụta metrik na-enye ike nkwenye na iweghachite nkewa ọrụ enweghị ike ijikwa ngwa ngwa.
Nghọta nka nka
Oke ahụ bụ ihe na-eme ka ọnwụ atọ na-arụ ọrụ. Na-enweghị ya, ihe nlereanya ahụ nwere ike daa n'ụzọ na-enweghị isi na ntinye niile n'otu ebe, na-eme ka ọ bụla dị anya efu na ịtụ ihe enweghị isi. Oke ahụ na-amanye ihe nchekwa: ihe na-adịghị mma ga-abụrịrị opekata mpe karịa nke dị mma tupu ọnwụ ahụ eruo efu. A na-edobe ihe mgbakwunye L2 n'otu hypersphere, ya mere a na-ekechi ya anya yana atụnyere ya. Ịhọrọ oke (mgbe ọ dị ihe dịka 0.2) na-azụta ka klaasị siri chịkọba megide nkewa n'etiti ha.
Mmetụta atụmatụ
Mkpebi doro anya
Ọ na-enyere gị aka ikewapụta nkwupụta ọrụ aka doro anya na asụsụ ahịa.
Ọnụ ego na mmefu ego
Ị nwere ike ịjụ ajụjụ mmejuputa iwu ka mma tupu itinye ego ma ọ bụ oge.
Team na usoro ọrụ
Ndị otu nwere nghọta na-eme ka ngwaahịa, amụma na mkpebi mmụta ka mma.
Ọdịnihu nke mfu Triplet na mmụta metrik
A na-eji ebumnobi zuru oke dochie mfu atọ dị ọcha dị ka ọtụtụ myirịta, proxy-arịlịka, na mfu dị iche iche (InfoNCE) nke na-atụnyere ọtụtụ ụzọ abụọ n'otu nzọụkwụ wee na-agbakọta ngwa ngwa. Ụzọ a na-ahụ maka onwe ya dị ka SimCLR na-egosi mmụta metrik nwere ike ịrụ ọrụ na-enweghị akara site n'ịgwọ echiche agbakwunyere dị ka ihe ziri ezi. Dị ka vector ọdụ data na eweghachi-augmented ọgbọ na-arị elu, mmụta emddings na-akwado semantic search na ijeri ihe ọnụ ọgụgụ, ya mere, isi echiche nke ịdị anya-dị ka myiri na-aghọ ọzọ nke etiti, ọbụna dị ka kpọmkwem ihe atọ mejupụtara atọ na-ebelata.
Mmejuputa n'ezie n'ụwa
Nnwale ihu ụdị FaceNet: ekwentị na ọnụ ụzọ paspọtụ na-akwado njirimara site na ịlele ma ọ bụrụ na ihu abụọ dabara n'ime ebe dị anya.
Nchọ ngwaahịa a na-ahụ anya: saịtị e-azụmahịa na-ahapụ ndị na-azụ ahịa ka ha bulite foto wee weghachite ihe ndị yiri ya site na nleba anya agbataobi kacha nso.
Nnwale ọkà okwu: ndị na-enyere aka olu na-etinye ihe nlele olu wee jiri ya tụnyere profaịlụ edebanyere aha iji gosi onye na-ekwu okwu.
Nnwale mbinye aka na aka ọdịde: ụlọ akụ na-etinye akwụkwọ nrụtụ aka na mbinye aka ajụjụ yana akwụkwọ adịgboroja mgbe ebe dị anya gafere oke amụtara.
Ihe ize ndụ & okporo ụzọ nche
Otu dị iche iche nwere ike iji otu okwu ahụ mee ihe n'ụzọ dị iche, yabụ kọwapụta oge n'oge.
Ihe nrịbama nwere ike ịdị ike ebe arụmọrụ ụwa na-adaghị adaba.
Ileghara ogo data na atụmatụ nyocha anya na-emepụtakarị nsonaazụ na-adịghị mma.
Map mmejuputa
Malite na nkọwa asụsụ dị larịị nke nsonaazụ ịchọrọ.
Họrọ otu metrik ịga nke ọma na otu ọnọdụ ọdịda tupu nnwale.
Gbaa obere onye na-anya ụgbọ elu nwere data nnọchite anya, ọ bụghị ihe ngosi ngosi na-egbu maramara.
Detuo ebe Triplet Loss na Metric Learning na-enyere aka yana ebe ụzọ ndị dị mfe ka mma.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Netwọk Siamese na mfu Triplet
Ajụjụ a na-ajụkarị
What is Triplet Loss and Metric Learning?
Ọnwụ Triplet na-akuziri netwọkụ akwara ka idowe ihe ndị yiri ya na nso nso na ihe ndị yiri ya n'ebe dị anya n'ime oghere. Ọ bụ ntọala dị n'azụ njirimara ihu, nchọta onyonyo, na sistemu nkwado dị mkpa iji atụnyere ihe kama ịkewa ha naanị.
Kedu ihe ntinye atọ mejupụtara atọ na ọnwụ atọ?
Atọ atọ nwere arịlịka, ihe dị mma nke na-eketa klaasị arịlịka, yana ihe na-adịghị mma sitere na klaasị dị iche.
Kedu ihe kpatara ọnwụ atọ ji gụnye oge oke?
Na-enweghị oke, ihe nlereanya ahụ nwere ike ịdepụta ihe niile n'otu ebe, na-eme ka anya niile bụrụ efu ma na-eju mfu ahụ obere ihe. Oke ahụ na-amanye ezigbo nkewa.
Kedu usoro ama ama nke afọ 2015 mebere mfu triplet maka njirimara ihu?
Google's FaceNet jiri mfu ugboro atọ amụta mgbakwụnye ihu ma tọọ akara nrịbama na nyocha ihu.
Kedu ihe ụdị mmụta metrik zụrụ azụ maka ntinye ọ bụla?
Ihe nlereanya ahụ na-esetịpụ ihe ntinye na ntinye vectors; ị ga-atụnyere ihe site n'ịtụ anya n'etiti ntinye ha.
Kedu ihe kpatara mmụta metrik ji dabara nke ọma maka nsogbu ndị mepere emepe dị ka ịgbakwunye ihu ọhụrụ?
N'ihi na amara dabere na ntinye anya, ị nwere ike ịdebanye aha njirimara ọhụrụ naanị site na ịchekwa ntinye ya, ọ nweghị nzụghachi ihe nlereanya achọrọ.