Convolutional Neural Network (CNN)

A Convolutional Neural Network (CNN) is a specialized class of deep neural networks, predominantly and highly effectively applied to analyzing visual imagery. Inspired by the organization of the animal visual cortex, CNNs are designed to automatically and adaptively learn spatial hierarchies of features from input data through a process known as convolution. Unlike traditional neural networks, CNNs leverage a unique architecture comprising convolutional layers, pooling layers, and fully connected layers, enabling them to recognize patterns and features in images with remarkable accuracy, regardless of their position or scale.