CNN

Convolutional Neural Network

CNN yog lub ntsiab lus rau Convolutional Neural Network.

Yuav ua li cas yog Convolutional Neural Network?

Ib chav kawm ntawm cov qauv kev kawm tob feem ntau yog siv los tshuaj xyuas thiab ua cov ntaub ntawv pom, xws li cov duab thiab yeeb yaj kiab. Lawv tau tsim los ua kom zoo li cov txheej txheem ntawm tib neeg kev pom cortex thiab paub txog cov qauv hauv cov khoom siv pom. CNNs muaj txiaj ntsig tshwj xeeb ntawm cov haujlwm xws li kev faib cov duab, tshawb pom cov khoom, thiab segmentation.

Lub architecture ntawm CNN feem ntau muaj ob peb txheej, suav nrog:

  1. Input txheej: Cov txheej no tau txais cov ntaub ntawv raw cov duab, feem ntau sawv cev raws li matrix ntawm pixel qhov tseem ceeb.
  2. Convolutional txheej: Cov khaubncaws sab nraud povtseg ua cov haujlwm convolution, uas suav nrog siv ntau lub lim (tseem hu ua kernels) rau cov ntaub ntawv nkag. Cov lim dej pab txheeb xyuas cov yam ntxwv zoo li cov npoo, textures, thiab cov duab hauv daim duab. Cov txiaj ntsig ntawm cov txheej txheem convolutional yog ib txheej ntawm cov ntawv qhia tshwj xeeb, uas sawv cev rau cov yam ntxwv ntawm qhov sib txawv spatial scales thiab orientations.
  3. Ua kom cov txheej txheem: Cov khaubncaws sab nraud povtseg siv cov haujlwm uas tsis yog-linear activation, xws li Rectified Linear Unit (ReLU), rau qhov tso zis ntawm cov khaubncaws sab nraud povtseg. Kev ua kom muaj nuj nqi qhia tsis yog-linearity, tso cai rau CNN kawm cov qauv nyuaj thiab kev sib raug zoo hauv cov ntaub ntawv.
  4. Txheej txheej: Cov khaubncaws sab nraud povtseg no ua haujlwm txo qis, uas pab txo qis qhov ntev thiab kev suav ntawm cov duab kos duab tshwj xeeb thaum khaws cov ntaub ntawv tseem ceeb tshaj plaws. Kev sib koom ua ke feem ntau suav nrog max-pooling thiab nruab nrab pooling.
  5. Tag nrho cov khaubncaws sab nraud povtseg: Cov khaubncaws sab nraud povtseg no txuas txhua cov neuron hauv ib txheej rau txhua tus neuron hauv txheej tom ntej, uas ua rau CNN kawm qib siab dua nta thiab kev sib raug zoo. Qhov kawg kev sib txuas tag nrho txheej feem ntau yog ua raws li softmax ua kom muaj nuj nqi, uas ua rau cov khoom tsim tawm rau txhua chav kawm hauv kev faib ua haujlwm.
  6. Output txheej: Cov txheej no tsim qhov kev kwv yees zaum kawg lossis cov khoom tso tawm ntawm CNN, xws li cov ntawv teev npe hauv chav kawm hauv kev faib cov duab.

Kev cob qhia CNN suav nrog kev hloov kho qhov hnyav thiab kev tsis ncaj ncees los ntawm cov txheej txheem hu ua backpropagation, uas txo qhov kev ua yuam kev ntawm qhov kev kwv yees tawm thiab cov ntawv tiag. Thaum kawm tiav, CNN tuaj yeem siv los ua kev kwv yees ntawm cov ntaub ntawv tshiab, tsis pom.

CNNs tau ua tiav hauv ntau yam kev ua haujlwm hauv computer pom, suav nrog kev faib cov duab (xws li ImageNet), kev tshawb pom cov khoom (xws li, YOLO, Faster R-CNN), thiab semantic segmentation (xws li, U-Net). Lawv qhov ua tau zoo hauv kev ua cov ntaub ntawv pom tau kuj ua rau lawv tsim nyog rau lwm yam xws li kev ua cov lus ntuj thiab kev paub hais lus, uas lawv tuaj yeem siv los txheeb xyuas cov ntaub ntawv sib txuas.

  • Cov tsiaj ntawv luv: CNN
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