Convolutional Neural Networks (CNNs) are particularly effective at processing data with a ________ structure, such as images.

Convolutional Neural Networks (CNNs) are particularly effective at processing data with a grid-like structure, such as images.

This grid-like structure is evident in the way images are represented as two-dimensional arrays of pixels, where each pixel's intensity or color is a feature that contributes to the overall representation of the image. CNNs leverage this structure through convolutional layers that apply various filters to extract features from these grids without losing spatial hierarchies. By effectively recognizing patterns and details, such as edges, textures, and shapes within the grid, CNNs can achieve high accuracy in various visual tasks, including image classification, object detection, and segmentation. This structured approach allows CNNs to outperform traditional machine learning methods, which may not be as efficient in processing complex image data.