QBoard » Artificial Intelligence & ML » AI and ML - Conceptual » How does kernel size affect accuracy?
User Dashboard

How does kernel size affect accuracy?

Back To Topics
Tags : ml data datascience
  • 131 2
    How does kernel size affect accuracy?
      August 9, 2021 8:31 PM IST
    0
  • 461
    It depends on the images, if you needed a lot of details from the image you don't need to increase your kernel size. ... Smaller kernel will gives you a lot of details, it can lead you to overfitting, but larger kernel will gives you loss a lot of details, it can lead you to underfitting.
      August 16, 2021 3:39 PM IST
    0
  • 319 1
    Kernel size does not effect accuracy much, the design of the kernel effect accuracy since feature extraction happens only depending on the kernel design, in most of the case 3x3 kernel used.
      August 9, 2021 11:51 PM IST
    0
  • 181
    I'd say there is no direct relation between the kernel size and the accuracy. If you start using larger kernel you may start loosing details in some smaller features (where 3x3 would detect them better) and in other cases, where your dataset has larger features the 5x5 may start detect features that 3x3 misses
      August 13, 2021 3:40 PM IST
    0