Convolutional neural networks are a prominent class of deep learning algorithms primarily used for interpreting visual data. Rooted by the organization of the vertebrate visual cortex, CNNs employ a hierarchy of filtering layers to learn high-level features from input data. These patterns are then processed by fully connected layers to accomp… Read More

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 that apply filters to extract features from the in… Read More