Convolutional neural networks represent a powerful class of deep learning algorithms largely used for interpreting visual data. Inspired by the structure of the human visual cortex, CNNs employ a hierarchy of convolutional layers to identify abstract features from input data. These representations s

Deep learning has revolutionized many fields, and convolutional neural networks (CNNs) are a crucial component of this progress. CNNs are particularly well-suited for processing data with a grid-like structure, such as images and videos. They achieve this through a series of convolutional layers tha