Translations:Convolutional Neural Networks/7/en: Difference between revisions
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* '''Kernel size''' — the spatial extent of the filter (e.g. <math>3 \times 3</math>, <math>5 \times 5</math>). | * '''Kernel size''' — the spatial extent of the filter (e.g. <math>3 \times 3</math>, <math>5 \times 5</math>). | ||
* '''Stride''' — the step size between successive positions of the kernel. A stride of 2 halves the spatial dimensions. | * '''Stride''' — the {{Term|learning rate|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. | * '''Padding''' — adding zeros around the border of the input to control the output size. "Same" padding preserves spatial dimensions; "valid" padding uses no padding. | ||
Latest revision as of 23:34, 27 April 2026
- 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.