Mgbagha ndị nwere ike kewapụta nke omimi
Mgbagwoju anya nkewapụ omimi na-eme ka mgbanwe ọkọlọtọ bụrụ usoro abụọ dị ọnụ ala karịa, na-egbutu ọnụ ọgụgụ nke mmụba na paramita.
Nchịkọta
They are the trick that lets neural networks run on phones and edge devices without melting the battery.
Ime miri emi
Ọkọlọtọ convolution na-agwakọta ozi n'ofe ma oghere na ọwa n'ime otu nnukwu ọrụ, nke dị oke ọnụ. Mgbagha nke nwere ike kewaa nke ọma na-ekewa nke a ụzọ abụọ. Nke mbụ, nzọụkwụ miri emi na-emetụta otu obere nzacha n'otu ọwa ntinye n'onwe ya, na-ewere usoro oghere n'ime ọwa ọ bụla mana anaghị agwakọta ọwa. Nke abụọ, nzọụkwụ nke dabara na-eji 1x1 convolution iji jikọta ọwa na pixel ọ bụla, na-agwakọta ozi ọwa n'eleghị ndị agbata obi anya. Site n'iwepụ nzacha oghere site na ịgwakọta ọwa, ngụkọta ngụkọta na-ada nke ọma, na-abụkarị ugboro 8 ruo 9 maka nzacha 3x3, na-enwe naanị obere mfu ziri ezi. Ihe nrụpụta a bụ ọkpụkpụ azụ nke MobileNet na Xception.
Nghọta nka nka
Maka ọwa ntinye nke kernel 3 × 3 M na ntinye N n'elu maapụ atụmatụ, mgbanwe ọkọlọtọ na-efu ihe dị ka ugboro 9 ugboro M ugboro N na-agbakwunye kwa ebe ọ bụla. Ụdị nkewapụ na-efu 9 ugboro M maka akụkụ miri emi gbakwunyere M ugboro N maka 1x1 n'ụzọ amamihe dị na ya. Ọnụọgụ ahụ dị ihe dịka 1/N + 1/9, yabụ maka nnukwu N ego nchekwa na-abịaru nso ihe 1/9 gbasara oghere.
Mmetụta atụmatụ
Ọnụ ego na mmefu ego
Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.
Mkpebi doro anya
Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.
Quality akara
Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.
Ọdịnihu nke ọgba aghara ndị nwere ike ịpụ apụ n'ụzọ miri emi
Mgbagwoju anya nkewapụ nke miri emi na-anọgide na-abụ nnukwu ụdị ọhụụ na-arụ ọrụ nke ọma ma na-apụtawanye na ngwakọ CNN-transformer dị ka MobileViT na ConvNeXt blocks. Ka AI na-arụ ọrụ na-etolite, ndị na-eme ngwa ngwa ngwaike na-agbakwunye nkwado obodo maka ops miri emi. Na-atụ anya ka a na-aga n'ihu n'ọhụụ dị adị, ihe mmetụta ike na-eyi, na ntọala ọ bụla ebe nkwụsịtụ, ebe nchekwa, na mmefu ego ike siri ike, na-ejikọta ya na quantization na ịchọ ụlọ ọrụ akwara.
Mmejuputa n'ezie n'ụwa
MobileNet na MobileNetV2 na-eji ha na-eme nhazi nhazi onyonyo ozugbo na ekwentị na obere latency
Nkeji eserese na-eme n'oge na nhịahụ ndabere na ngwa ịkpọ vidiyo na-adabere na ọkpụkpụ azụ ikewapụ fechaa
Nchọpụta ihe na ngwaọrụ na igwefoto nchekwa na drones, ebe ike na mgbakọ dị oke
Xception na-etinye ha n'ọ̀tụ̀tụ̀ iji kwalite izi ezi ImageNet ka ha na-achịkwa ọnụ ọgụgụ paramita
Ihe ize ndụ & okporo ụzọ nche
Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.
A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.
Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.
Map mmejuputa
Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.
Benchmark n'okpuru ibu dị adị na ọnọdụ data.
Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.
Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Mgbagha ndị nwere ike imebi
Ajụjụ a na-ajụkarị
What is Depthwise Separable Convolutions?
Mgbagwoju anya nkewapụ omimi na-eme ka mgbanwe ọkọlọtọ bụrụ usoro abụọ dị ọnụ ala karịa, na-egbutu ọnụ ọgụgụ nke mmụba na paramita. Ha bụ aghụghọ na-eme ka netwọkụ akwara na-agba ọsọ na ekwentị na ngwaọrụ ihu na-agbaze batrị.
Kedu ihe bụ nzọụkwụ abụọ nke mgbagwoju anya nkewapụ n'ụzọ miri emi na-ekewa ụkpụrụ ọkọlọtọ n'ime?
Nzọụkwụ dị omimi na-enyocha ọwa ọ bụla n'onwe ya, yana nzọụkwụ 1x1 nke dabara adaba wee jikọta ozi n'ofe ọwa.
N'ụzọ miri emi, kedu ka esi emeso ọwa ntinye?
Ntugharị miri emi na-etinye nzacha oghere dị iche iche na ọwa ntinye ọ bụla na-agwakọtaghị ọwa, nke na-eme ka ọ dị ọnụ ala.
Ihe dị ka ego ole 3x3 nwere ike ibelata mgbako ma e jiri ya tụnyere ọkọlọtọ 3 × 3 nwere ọtụtụ ọwa mmepụta?
Maka kernel 3 × 3, oke nchekwa ego na-abịaru nso 1/9 mgbe ọnụọgụ ọwa mmepụta buru ibu, na-enye ọrụ 8 ruo 9 ugboro ole na ole.
Kedu ọrụ nke convolution (1x1) na nhazi a?
Ntugharị ntụzịaka nke 1x1 na-agwakọta ọwa na pikselụ ọ bụla, nke nzọụkwụ miri emi kpachara anya zere ime.
Kedu ihe owuwu a ma ama nke mere ka mgbanwe dị omimi kewapụrụ maka ngwaọrụ mkpanaka?
Ewubere MobileNet n'okirikiri mgbagwoju anya nkewa nke ọma iji mee ka ntinye aka nke ọma na ekwentị.