Convolutional neural networks represent a prominent class of deep learning algorithms largely used for analyzing visual data. Inspired by the structure of the human visual cortex, CNNs harness a series of feature-extracting layers to identify abstract features from input data. These features are then processed by classifying layers to execute… 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