Переваги згорткових нейронних мереж як технології розпізнавання зображень

Abstract

Image recognition is a crucial area of study in computer vision and machine learning, with numerous applications in various fields such as medical imaging, self-driving cars, security, and entertainment. Convolutional Neural Networks (CNNs) have revolutionized image recognition technology, enabling machines to identify and classify images with high accuracy. This thesis provides an in-depth look at the advantages and challenges of CNNs, as well as their applications in different industrie