Special Topics

CNN AI A Convolutional Neural Network (CNN) is a specialized deep learning architecture designed to process data with grid-like topologies, such as images . Unlike traditional neural networks, CNNs preserve the spatial relationships between pixels and automatically detect visual patterns like edges, shapes, and textures. [ 1 , 2 , 3 ] A typical CNN takes an image as an input, extracts meaningful features through multiple specialized layers, and then classifies the image based on its findings. This end-to-end process involves the following key components: [ 1 ] 1. Convolutional Layer This is the core building block of a CNN. It applies a mathematical operation called convolution, where a small grid of numbers called a filter or kernel (e.g., 3 × 3 or 5 × 5) slides over the image. [ 1 , 2 , 3 ] Feature Extraction: At each position, it calculates the dot product between the filter weights and the underlying pixels. This produces a new matrix called a feature map , which highlights det...