NEURAL NETWORKS. COMPUTER VISUAL RECOGNITION

Abstract

Neural networks are an important tool in modern technology, providing a wide range of applications in various fields, including computer vision, natural language processing, medicine, finance, and others. They are based on the idea of replicating the workings of the human brain and neural system, allowing them to perform complex tasks by using learning by example. Deep neural networks have become one of the most popular tools for developing automated solutions. These models turned out to be particularly useful in solving classification problems. Nevertheless, modern approaches to the formation of the network structure and learning require a significant investment of time. It is necessary to develop learning methods that could optimize the learning process in terms of the number of computational operations required. In addition, the method should have the property of adaptability, so that the learning results, as well as the obtained models, can be used for other tasks.

Segmentation, filtering, classification, scene reconstruction, object position estimation, object detection, video surveillance and many other diverse tasks include a wide field of computer vision. Computer vision is an important component of the development of artificial intelligence and intelligent information technologies. Image recognition is relevant in military affairs, when the correct identification of a military object can radically change the course of a battle or a local operation, finds its place in archeology and archival work, helps to reproduce historically valuable documentary finds, as well as when mapping the area and transmitting information from artificial Earth's satellites. It is desirable to give the reproduced image such properties that the perception of individual, most significant fragments of the image, or the image as a whole, will be convenient for the observer in view of the artistic or technological properties of this image. This paper examines the current state of neural network technologies, their operating principles and potential applications.

Key words: neural networks, artificial intelligence, computer visual recognition, natural language processing, technologies.