Wakambozvibvunza here kuti mota inozvityaira inoziva nguva yekumira pamwenje dzvuku kana kuti foni yako ingaziva sei chiso chako?
Apa ndipo panopinda Convolutional Neural Network kana CNN kwenguva pfupi.
CNN inofananidzwa nehuropi hwemunhu hunokwanisa kuongorora mifananidzo kuti ione zviri kuitika mairi. Manetiweki aya anogona kutoona zvinhu zvisingatarisirwi nevanhu!
Mune ino post, isu tichaongorora CNN mune kudzidza zvakadzika context. Ngationei kuti nzvimbo iyi inofadza ingatipei!
Chii chinonzi Deep Learning?
Kudzidza kwakadzama rudzi rwe chakagadzirwa njere. Inoita kuti makomputa adzidze.
Kudzidza kwakadzama maitiro data uchishandisa yakaoma masvomhu modhi. Saka kuti, komputa inokwanisa kuona mapatani uye kupatsanura data.
Mushure mekudzidziswa nemienzaniso yakawanda, inogonawo kuita sarudzo.
Sei Tichifarira CNNs muKudzidza Kwakadzika?
Convolutional Neural Networks (CNNs) chinhu chakakosha chekudzidza kwakadzama.
Vanobvumira makombiyuta kuti anzwisise mifananidzo nezvimwe data yekuona. Tinogona kudzidzisa makomputa kuti aone mapatani uye kuona zvinhu zvichibva pane zvavano "ona" nekushandisa maCNN mukudzidza kwakadzama.
MaCNN anoita semeso ekudzidza zvakadzama, achibatsira makomputa kunzwisisa zvakatipoteredza!
Kufemerwa kubva kuBrain's Architecture
CNNs inotora kurudziro yavo kubva pakududzira kunoita uropi ruzivo. Artificial neurons, kana node, muCNNs, gamuchira zvinopinda, zvigadzirise, uye kuendesa mhedzisiro sezvinobuda, semabatiro anoita neurons mumuviri wese.
Input Layer
Iyo yekupinza layer ye mwero neural network inogamuchira zvinopinda muchimiro chezvirongwa, senge mapikseli emifananidzo. MuCNNs, mufananidzo unopihwa sekuisa kune yekuisa layer.
Hidden Layers
Kune akati wandei akavanzika akaturikidzana muCNNs, ayo anoshandisa masvomhu kubvisa maficha kubva pamufananidzo. Kune akati wandei marudzi ematanho, anosanganisira akanyatsobatanidzwa, akagadziridzwa mutsara mayuniti, kubatanidza, uye convolution layer.
Convolution Layer
Yekutanga layer yekubvisa maficha kubva pamufananidzo wekuisa ndiyo convolution layer. Mufananidzo wekuisa unoiswa mukusefa, uye mhedzisiro imepu inoburitsa zvinhu zvakakosha zvemufananidzo.
Kubatanidza Gare gare
Iyo yekuunganidza layer inoshandiswa kutapudza saizi yemepu yemhando. Inosimbisa kupikisa kwemuenzaniso kushandura nzvimbo yemufananidzo wekuisa.
Yakagadziriswa Linear Unit Layer (ReLU)
Iyo ReLU layer inoshandiswa kupa iyo modhi isina mutsara. Kubuda kwechikamu chapfuura chinoitwa neiyo layer.
Yakanyatsobatanidzwa Layer
Iyo yakazara yakabatana layer inoisa icho chinhu uye chinochipa iyo yakasarudzika ID mune inobuda layer ndiyo yakanyatsobatanidzwa layer.
CNNs ndeye Feedforward Networks
Data inongoyerera kubva kune zvinopinda kuenda kune zvinobuda neimwe nzira. Mavakirwo avo anofemerwa nehuropi hunoonekwa cortex, iyo inoumbwa nealternating layers of basic and sophisticated cells.
MaCNN anodzidziswa sei?
Funga kuti uri kuedza kudzidzisa komputa kuona katsi.
Iwe unoratidza kwairi mifananidzo yakawanda yekatsi uchiti, "Heino katsi." Mushure mekuona mifananidzo yakakwana yekatsi, komputa inotanga kuziva maitiro akaita senzeve dzakanongedza nendebvu.
Mashandiro anoita CNN akafanana. Mapikicha akati wandei anoratidzwa pakombuta, uye mazita ezvinhu zviri pamufananidzo wega wega anopiwa.
Nekudaro, CNN inokamura mifananidzo kuita zvidimbu zvidiki, senge matunhu. Uye, inodzidza kuona hunhu mumatunhu iwayo pane kungoona mifananidzo yese.
Saka, iyo CNN yekutanga layer inogona kungoona ekutanga maitiro senge mipendero kana makona. Zvadaro, iyo inotevera dhizaini inovaka pamusoro peiyo kuti ione zvimwe zvakadzama maficha senge mafomu kana maumbirwo.
Iwo mataira anoramba achigadzirisa uye nekukudza iwo hunhu sezvo komputa inoona mimwe mifananidzo. Inoenderera mberi kusvika yave nehunyanzvi hwekuziva chero chayakadzidziswa, ingave katsi, zviso, kana chimwe chinhu.
Chishandiso Chine Simba Chakadzama Kudzidza: Maitiro eCNNs Akashandura Kuzivikanwa Kwemifananidzo
Nekuziva uye nekuita pfungwa yemapateni mumifananidzo, CNNs, yakashandura kuzivikanwa kwemifananidzo. Sezvo vachipa mibairo nehupamhi hwechokwadi, maCNNs ndiwo akanyatso dhizaini ekuronga mifananidzo, kutora, uye kuona maapplication.
Kazhinji vanopa mhedzisiro yakanaka. Uye, ivo vanonongedza chaizvo uye kuona zvinhu mumifananidzo mune chaiyo-yepasirese application.
Kutsvaga Mapeteni mune Chero Chikamu cheMufananidzo
Hazvina mhosva kuti patani inowanika papi pamufananidzo, CNNs dzakagadzirirwa kuzviziva. Ivo vanogona kuburitsa otomatiki maitiro ekuona kubva kune chero nzvimbo mumufananidzo.
Izvi zvinogoneka nekuda kwekugona kwavo kunozivikanwa se "spatial invariance." Nekurerutsa maitiro, maCNN anogona kudzidza zvakananga kubva pamifananidzo pasina kudiwa kwekutorwa kwevanhu.
Kuwedzera Kumhanyisa Kumhanyisa uye Kuderera Kuyeuka Kushandiswa
CNNs inogadzira mapikicha nekukurumidza uye zvakanyanya kupfuura maitiro echinyakare. Ichi ndicho chikonzero chezvikamu zvekubatanidza, izvo zvinoderedza nhamba yemiganhu inodiwa kugadzirisa mufananidzo.
Nenzira iyi, vanodzikisa kushandiswa kwekuyeuka uye kugadzirisa mari. Nzvimbo dzakawanda dzinoshandisa CNNs, dzakadai se; kuzivikanwa kwechiso, kupatsanurwa kwevhidhiyo, uye kuongororwa kwemifananidzo. Vatojaira ronga mapoka enyeredzi.
Mienzaniso yehupenyu chaihwo
Mifananidzo yeGoogle Kumwe kushandiswa kweCNNs munyika chaiyo inovashandisa kuziva vanhu uye zvinhu zviri mumifananidzo. Uyezve, Azure uye Amazon ipa maAPI ekuzivikanwa kwemifananidzo anomaka nekuona zvinhu uchishandisa CNNs.
Iyo yepamhepo interface yekudzidzisa neural network uchishandisa dhataseti, kusanganisira mifananidzo yekucherechedza mabasa, inopihwa neiyo yakadzika yekudzidza chikuva. NVIDIA Digits.
Aya maapplication anoratidza mashandisirwo angaitwa maCNN kuita mabasa akasiyana siyana, kubva padiki-diki-makesi ekushandisa ekutengesa kusvika pakuronga mafoto emunhu. Mimwe mienzaniso yakawanda inogona kufungwa nezvayo.
Ko Convolutional Neural Networks Ichashanduka Sei?
Hutano iindasitiri inonakidza uko maCNN anotarisirwa kuve nesimba rakakura. Semuenzaniso, anogona kushandiswa kuongorora mifananidzo yekurapa senge X-rays uye MRI scans. Vanogona kubatsira varapi mukukurumidza uye nekuongorora zvirwere.
Mota dzinozvityaira ndechimwe chinonakidza application uko maCNN anogona kushandiswa kuratidza chinhu. Inogona kuvandudza manzwisisiro anoita mota uye kuita kune zvakavapoteredza.
Nhamba irikukwira yevanhu vanofarirawo kugadzira CNN zvimiro zvinokasira uye zvinoshanda zvakanyanya, kusanganisira nhare dzeCNN. Iwo anotarisirwa kushandiswa pane yakaderera-simba gadget senge smartphones uye zvinopfekwa.
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