Overview
Zvakadzika zvakapatsanurika convolutions zvinokonzeresa kuchinjika kuita nhanho mbiri dzakachipa, kucheka huwandu hwekuwanda uye paramita. Ndiwo hunyengeri hunobvumira neural network kumhanya pamafoni uye edge zvishandiso pasina kunyungudutsa bhatiri.
Depthwise Separable Convolutions chivakwa chehunyanzvi chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero.
Deep Dive
Iyo yakajairwa convolution inosanganisa ruzivo munzvimbo yese uye machaneli mune imwechete dense oparesheni, inodhura. Kudzika kwakapatsanurika convolution inokamura izvi kuita nhanho mbiri. Chekutanga, nhanho yakadzika nhanho inoshandisa imwe diki sefa pane yekuisa chiteshi zvakazvimiririra, inotora spatial mapatani mukati mega ega chiteshi asi isingambosanganisi machiteshi. Chechipiri, nhanho yakananga inoshandisa 1x1 convolution kusanganisa zviteshi pane yega pixel, kusanganisa ruzivo rwechiteshi pasina kutarisa vavakidzani. Nekudzoreredza kusefa kwenzvimbo kubva mukusanganiswa kwechiteshi, iyo compute yakazara inodonha zvakanyanya, kazhinji ne8 kusvika ku9 nguva kune 3x3 sefa, nekungorasika kushoma chaiko. Iyi factorization ndiyo musana weMobileNet uye Xception.
Technical Insight
Kune 3x3 kernel mepu yeM yekupinza nzira kune N zvinobuda pamusoro pemepu yechinhu, yakajairwa convolution inodhura zvinokwana ka9 M nguva N kuwedzera-inowedzera panzvimbo. Iyo yakapatsanurwa vhezheni inodhura 9 times M kune yakadzama chikamu pamwe neM nguva N kweiyo pointwise 1x1. Reshiyo inosvika 1/N + 1/9, saka kune hombe N iyo savings inosvika pa1/9 spatial factor.
Kubata Zvakadzika Zvakapatsanurwa Convolutions
Zvakadzika zvakapatsanurika convolutions zvinokonzeresa kuchinjika kuita nhanho mbiri dzakachipa, kucheka huwandu hwekuwanda uye paramita. Ndiwo hunyengeri hunobvumira neural network kumhanya pamafoni uye edge zvishandiso pasina kunyungudutsa bhatiri. Depthwise Separable Convolutions chivakwa chehunyanzvi chinobata mhando yemhando, mutengo wezvivakwa, latency, uye kuvimbika pachiyero. Kuvaka kunzwisisa kwakadzama, tora Depthwise Separable Convolutions semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo system inogona kuita nekuvimbika kubva kune ichiri kuda kutonga nyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Depthwise Separable Convolutions inogonesa zvivakwa, data, uye sarudzo dzezvivakwa zvinopesana nekuvimbika uye mutengo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Panguva imwecheteyo, Kukwirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
MobileNet uye MobileNetV2 vanoishandisa kumhanyisa mufananidzo kupatsanura zvakananga pamafoni ane mashoma latency
Real-time portrait segmentation uye kusviba kwemashure mumavhidhiyo ekufona maapplication anovimba neakareruka anopatsanurika musana
Pa-mudziyo kuona chinhu mumakamera ekuchengetedza uye drones, uko simba uye komputa zvinogumira
Xception inovashandisa pachiyero kusundira ImageNet kurongeka uku uchidzora kuverenga kweparameter
Maitiro Ekuita
Depthwise Separable Convolutions mukuita
MobileNet uye MobileNetV2 vanoishandisa kumhanyisa mufananidzo kupatsanura zvakananga pamafoni ane mashoma latency.
MobileNet neMobileNetV2 vanozvishandisa kumhanyisa kupatsanurwa kwemifananidzo pamafoni ane mashoma latency Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Depthwise Separable Convolutions mukuita
Real-time portrait segmentation uye kusviba kwemashure mumavhidhiyo ekufona maapplication anovimba neakareruka akapatsanurika musana.
Real-time portrait segmentation uye kusviba kwemashure mumavhidhiyo ekufona maapuro anovimba neakareruka akapatsanurika musana Zvikwata zvinowanzowana mhedzisiro iri nani pazvinenge zvichitsanangudza zvikumbaridzo zvemhando yepamusoro, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Depthwise Separable Convolutions mukuita
Pa-mudziyo kuona chinhu mumakamera ekuchengetedza uye drones, uko simba uye komputa zvinogumira.
Pa-mudziyo kuona chinhu mumakamera ekuchengetedza uye madrones, uko simba uye komputa zvidiki Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Depthwise Separable Convolutions mukuita
Xception inovashandisa pachiyero kusundira ImageNet kurongeka uku uchidzora kuverenga kweparameter.
Xception inovashandisa pachiyero kusundidzira ImageNet kurongeka uku uchidzora parameter kuverenga Matimu anowanzo kuwana mhedzisiro kana atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Implementation Roadmap
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Benchmark pasi pechokwadi mutoro uye data mamiriro.
Benchmark pasi pechokwadi mutoro uye data mamiriro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.