Spatial Behavior of Convolution in CNNs (Stride, Padding, and Feature Maps Explained)

This guide explores how convolution, stride, padding, and feature maps control spatial behavior in Convolutional Neural Networks (CNNs). It emphasizes that CNNs function as spatial transformation systems, using applied filters to generate feature maps with translational invariance and parameter efficiency.