What is stride in CNN and how does it affect feature extraction?

Stride defines how many pixels the filter moves at each step, controlling output size and computation cost.

Stride determines the movement of the convolution filter across the input image. A stride of 1 moves pixel by pixel, producing detailed feature maps. Higher strides downsample the image faster but may lose fine-grained information. It directly affects spatial resolution and computational efficiency.