Convolutional Neural Networks Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Nderipi basa guru resefa (kernel) muCNN?
   • Kuchengeta yekupedzisira classification label
   • Kusanganisa mapikseli zvisina tsarukano usati wadzidzira
   • Kutsvedza pamufananidzo uye kuona chaiyo yekuona maitiro
   • Kushandura chifananidzo kuita audio
2. How does spatial kernel sharing reduce parameter requirements compared with learning a separate kernel at every image location?
   • The same learned kernel weights are reused across locations
   • All input pixels are deleted
   • Every layer must use only grayscale data
   • The model avoids all training
3. What does a spatial pooling layer commonly do to a CNN feature map?
   • Assign a final label to every object
   • Reduce its spatial resolution
   • Guarantee invariance to every possible image shift
   • Always increase the number of input channels
4. Mune yakadzika CNN, maficha anowanzo shanduka sei kubva pakutanga maseru kuenda kune anozotevera layer?
   • Kubva pazvinhu zvese kusvika kune imwechete pixels
   • Vanoramba vakafanana pane yese layer
   • Kubva pane zvinyorwa kusvika kunhamba chete
   • Kubva pamapendero akareruka uye mavara kusvika kuzvikamu zvakaoma semeso kana mavhiri
5. Which named CNN is associated with the influential 2012 ImageNet classification result?
   • AlexNet
   • ResNet
   • Vision Transformer
   • SqueezeNet
6. Ndeipi mashandiro enhamba anoitika kana sefa ikaiswa pachigamba chemufananidzo?
   • Iwo mapixel anorongwa kubva kune yakasviba kusvika kune yakapenya zvakanyanya
   • Chigamba chinodzimwa kubva pamufananidzo
   • Huremu hwega hwega hunowedzerwa nepixel yayo inopindirana, uye zvigadzirwa zvinopfupikiswa
   • Mapixels anoshandurwa kuita mavara
7. With a 6-by-6 input and 3-by-3 kernel at stride one, no padding, and no dilation, what is the CNN output-grid size?
   • 6 by 6
   • 3 by 3
   • 2 by 2
   • 4 by 4
8. In dense ungrouped convolution on a three-channel input, which channels does one filter span?
   • Only the first channel by definition
   • All three input channels
   • No input channels because kernels contain only output labels
   • Exactly one channel in every convolution configuration