Convolutional Neural Networks (CNNs) are a class of deep learning algorithms specifically designed for processing structured grid data, such as images. They work by leveraging the spatial structure of the data, using filters to automatically and adaptively learn spatial hierarchies of features. CNNs have been widely successful in image recognition, medical image analysis, and even in the field of nanotechnology.
