When a CNN processes an image, it uses a small sliding window to find patterns like edges. What is this sliding window called?

The small sliding window used by a Convolutional Neural Network (CNN) to find patterns in an image is called a kernel or a filter. A kernel is a small matrix of numerical weights that defines a specific pattern or feature the CNN is designed to detect. During the processing, this kernel slides across the entire input image or a previously generated feature map, moving by a specified stride, which is the step size it takes for each movement. At each position where the kernel overlaps with a portion o....