Video: GoogLeNet qauv yog dab tsi?
2024 Tus sau: Lynn Donovan | [email protected]. Kawg hloov kho: 2023-12-15 23:47
GoogLeNet yog pretrained qauv uas tau raug cob qhia rau ntawm ib pawg ntawm ImageNet database uas yog siv hauv ImageNet Loj-Scale Visual Recognition Challenge (ILSVRC).
Tsuas yog li ntawd, GoogLeNet yog dab tsi?
GoogLeNet yog pretrained convolutional neural network uas yog 22 txheej sib sib zog nqus. Koj tuaj yeem thauj lub network tau kawm ntawm ImageNet [1] lossis Places365 [2] [3] cov ntaub ntawv. Lub network tau kawm ntawm ImageNet faib cov duab rau hauv 1000 yam khoom, xws li keyboard, nas, xaum, thiab ntau yam tsiaj.
Vgg model yog dab tsi? VGG yog ib tug convolutional neural network qauv tawm tswv yim los ntawm K. Zisserman los ntawm University of Oxford nyob rau hauv daim ntawv "Ntau sib sib zog nqus Convolutional Networks rau Loj-Scale Image Recognition". Cov qauv ua tiav 92.7% saum-5 xeem qhov tseeb hauv ImageNet, uas yog cov ntaub ntawv ntawm ntau dua 14 lab cov duab uas yog 1000 chav kawm.
Kuj tseem paub yog, AlexNet thiab GoogLeNet yog dab tsi?
AlexNet yog thawj lub npe nrov convolutional neural network (CNN). Tom qab ntawd, cov tes hauj lwm zoo sib xws tau siv los ntawm ntau lwm tus. GoogleNet Nws muaj qhov sib txawv ntau dua li ob qho tib si: nws siv kev sib txuas ntawm qhov pib modules, txhua qhov suav nrog qee qhov kev sib txuas, kev sib txuas ntawm cov nplai sib txawv thiab kev ua haujlwm sib txuas.
Inception network yog dab tsi?
Daim ntawv tshaj tawm ib hom tshiab ntawm architecture - GoogLeNet lossis Inception v 1. Nws yog qhov yooj yim convolutional neural network (CNN) uas yog 27 txheej sib sib zog nqus. 1 × 1 Convolutional txheej ua ntej thov lwm txheej, uas yog tsuas yog siv rau dimensionality txo.
Pom zoo:
Dab tsi yog qhov txawv ntawm cov khoom taw qhia cov qauv database thiab cov qauv kev sib raug zoo?
Qhov sib txawv ntawm kev sib raug zoo database thiab cov khoom taw qhia cov ntaub ntawv yog tias cov ntaub ntawv sib txheeb cov ntaub ntawv khaws cov ntaub ntawv nyob rau hauv daim ntawv ntawm cov ntxhuav uas muaj kab thiab kab. Hauv cov khoom taw qhia cov ntaub ntawv cov ntaub ntawv khaws cia nrog rau nws cov haujlwm uas ua los yog nyeem cov ntaub ntawv uas twb muaj lawm. Cov no yog qhov sib txawv hauv paus
Cov teeb meem dab tsi yog tus qauv qauv daws teeb meem?
Cov qauv zoo yog siv los daws cov teeb meem uas tej zaum yuav (los yog pom tias lawv yuav) raug coj los siv lossis daws los ntawm cov tswv yim sib txawv thiab uas muaj cov lus qhia meej meej rau cov xwm txheej zoo li no
Dab tsi yog qhov tsim qauv tsim qauv tsim thiab lub cev database tsim?
Logical database modeling suav nrog; ERD, daim duab ua lag luam, thiab cov ntaub ntawv tawm tswv yim rau cov neeg siv; whereasphysical database modeling suav nrog; server qauv daim duab, database tsim cov ntaub ntawv, thiab cov neeg siv cov ntaub ntawv tawm tswv yim
Qhov txawv ntawm OSI qauv thiab TCP IP qauv yog dab tsi?
1. OSI yog tus qauv tsim, raws tu qauv ywj pheej, ua raws li kev sib txuas lus ntawm lub network thiab cov neeg siv kawg. Tus qauv TCP/IP yog raws li cov qauv kev cai nyob ib puag ncig uas Internet tau tsim. Nws yog kev sib txuas lus raws tu qauv, uas tso cai rau kev sib txuas ntawm cov tswv hauv lub network
Tus qauv thiab qauv yog dab tsi?
Prototype yog simulative me me ntawm cov khoom siv hauv lub sijhawm, feem ntau yog siv rau kev sim. Qauv yog siv los nthuav qhia cov khoom uas yog tsim los yog nyob rau hauv txoj kev loj hlob li cas itlooks los ntawm txawv foundations