PROPERTIES OF CONVOLUTIONAL NEURAL NETWORKS

Abstract

Convolutional neural networks are widely used in artificial intelligence and machine learning in image analysis, natural language processing, and other complex data processing. The main characteristics of CNNs are automatic feature learning, extraction of important elements in images and data, invariance, hierarchical feature detection, and efficient parameter sharing. This article provides detailed information on the working principle of convolutional neural networks, their layers (convolution, pooling, fully connected), as well as how they are used in real-world problems.