Translations:Convolutional Neural Networks/7/en

• Kernel size — the spatial extent of the filter (e.g. $ 3 \times 3 $, $ 5 \times 5 $).
• Stride — the step size between successive positions of the kernel. A stride of 2 halves the spatial dimensions.
• Padding — adding zeros around the border of the input to control the output size. "Same" padding preserves spatial dimensions; "valid" padding uses no padding.