Netwọk Neural Convolutional
Convolutional Neural Networks (CNNs) bụ ihe owuwu ụlọ ọrụ maka ịghọta ihe onyonyo.
Nchịkọta
They learn visual patterns by sliding small filters across a picture, which is why they power everything from face unlock to medical scan analysis.
Ime miri emi
CNN na-ahazi onyonyo site n'ife obere grids nke ịdị arọ, nke a na-akpọ nzacha ma ọ bụ kernel, n'ofe pikselụ. Ihe nzacha nke ọ bụla na-enyocha otu ụkpụrụ, dị ka ihu, ntụpọ agba, ma ọ bụ akụkụ. N'ígwé nke mbụ na-achọpụta atụmatụ dị mfe; akwa dị omimi na-ejikọta ha na anya, wiil ma ọ bụ ederede. N'ihi na a na-ejigharị otu nzacha ahụ n'ọnọdụ ọ bụla (nkekọrịta ibu), CNN chọrọ obere paramita karịa netwọk ejikọrọ zuru oke ma nwee ike ịhụ pusi ma ọ na-apụta n'elu-aka ekpe ma ọ bụ ala-nri. Ngwunye ọdọ mmiri na-ebelata onyonyo n'etiti usoro, na-eme ka netwọk ahụ dịkwuo ngwa ma na-anabatakwa obere mgbanwe. Nhazi ala dị ka LeNet, AlexNet (2012) na ResNet kpalitere ọganihu mmụta miri emi, na mmeri AlexNet's ImageNet kpalitere oge ọgbara ọhụrụ nke ubi.
Nghọta nka nka
Isi ọrụ bụ convolution: a na-ekpuchi nzacha (sịnụ 3x3 weights) na patch nke pikselụ, a na-amụba ịdị arọ nke ọ bụla site na pikselụ ya, na-achịkọta nsonaazụ ya n'otu nọmba mmepụta. Ịmafe nzacha na-emepụta maapụ atụmatụ. Echiche abụọ na-eme ka nke a rụọ ọrụ nke ọma: ikekọrịta ibu (otu nzacha ejiri mee ihe n'ebe niile) na njikọta mpaghara (neuron ọ bụla na-ahụ naanị obere mpaghara). Ntughari nchikota, ihe na-adighi n'usoro dika ReLU, na ikpokota na-eme ka netwọk ahu wuo usoro nke njiri anya ihe nlere anya na-adiwanye ike.
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 Netwọk Neural Convolutional
CNN na-anọgide na-achị n'oge dị adị yana ọhụụ nwere oke akụrụngwa, dị ka igwefoto ekwentị na nghọta ịnya ụgbọ ala, n'ihi na ha na-adị ngwa ngwa ma na-arụ ọrụ data. Ọhụụ Transformers ugbu a mpi ma ọ bụ iti ha na nnukwu datasets, otú ubi na-converging na ngwakọ aghụghọ na-ejikọta convolution si arụmọrụ na uche si zuru ụwa ọnụ echiche. Na-atụ anya na CNN ga-anọgide na ngwaọrụ agbakwunyere na ihu, na onyonyo ahụike ebe data dị ụkọ, yana dịka ndị na-ewepụta ihe na-arụ ọrụ nke ọma na-enye nnukwu usoro multimodal nri maka afọ ndị na-abịa.
Mmejuputa n'ezie n'ụwa
Ịchọta etuto, mgbajiji, na retinopathy ọrịa mamịrị na X-ray, CT scan, na foto retinal
Ngosipụta ihu maka mkpọghe ekwentị na ịkpado foto na ngwa dị ka Google Foto
Ịgụ akara okporo ụzọ, akara okporo ụzọ, na ndị na-agafe agafe na sistemụ nghọta ụgbọ ala nke na-anya onwe ya
Na-egosipụta ngwaahịa ndị nwere nkwarụ na-akpaghị aka na ahịrị mgbakọ ụlọ ọrụ site na nyocha igwefoto
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 Convolutional Neural Networks na-enyere aka yana ebe ụzọ ndị dị mfe dị mma.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ihe eserese Neural Networks
Ajụjụ a na-ajụkarị
What is Convolutional Neural Networks?
Convolutional Neural Networks (CNNs) bụ ihe owuwu ụlọ ọrụ maka ịghọta ihe onyonyo. Ha na-amụta usoro a na-ahụ anya site na ịfefe obere ihe nzacha n'ofe foto, nke mere ha ji na-eme ihe niile site na imeghe ihu ruo nyocha nyocha ahụike.
Kedu ọrụ bụ isi nke nzacha (kernel) na CNN?
Ihe nzacha bụ obere grid nke ịdị arọ na-agafe n'elu onyonyo a, na-arụ ọrụ mgbe ọ chọtara ụkpụrụ ọ mụtara, dị ka akụkụ ma ọ bụ udidi.
Kedu ihe kpatara CNN ji chọọ parampat pere mpe karịa netwọk ejikọrọ zuru oke maka onyonyo?
Ịkekọrịta arọ pụtara na a na-etinye obere nzacha n'ebe niile na onyonyo a, yabụ netwọk na-ejigharị otu nha ahụ kama ịmụta nke dị iche iche maka ọnọdụ pixel ọ bụla.
Kedu ihe oyi akwa igwu mmiri na-eme?
Pooling (dị ka max pooling) na-agbadata maapụ atụmatụ ahụ, na-ebelata mkpokọta yana mee ka netwọk ghara ịma kpọmkwem ebe njirimara pụtara.
N'ime CNN miri emi, kedu ka njirimara na-esi agbanwe n'ozuzu site na ọkwa mbụ gaa na ọkwa ọzọ?
N'ígwé nke mbụ na-achọpụta njirimara dị ala dị ka akụkụ na agba; akwa dị omimi na-ejikọta ndị a n'ime echiche dị elu dị ka ihu ma ọ bụ akụkụ ihe.
Kedu ihe omume a na-ekwu na ọ bụ ịmalite ọganihu mmụta miri emi nke ọgbara ọhụrụ n'ọhụụ?
Mmeri AlexNet dị egwu nke 2012 ImageNet site na iji CNN miri emi na GPUs mere ka ndị nchọpụta kwenye na mmụta miri emi nwere ike karịa ụzọ ochie, na-akpali uto ngwa ngwa nke ubi.