APPLICATION OF MODERN DATA COLLECTION TECHNOLOGIES AND MACHINE LEARNING METHODS FOR FACE RECOGNITION
The article presents a comprehensive approach to the development and optimization of a neural network model for effective face recognition in a dynamic environment. In particular, the neural network developed by the authors is considered, the purpose of which is to recognize a limited number of people. A training sample was formed to train the neural network.
The paper describes the process of training a neural network using the Keras library, including the network architecture, layer sizes, activation functions and optimization methods. The stages of preprocessing and preparation of initial data for training a neural network are also discussed.
The obtained research results show that the developed neural network has high performance and accuracy.
Marton N.A., Zhikharev A.G., Chernykh V.S. Application of modern data collection technologies and machine learning methods for face recognition // Research result. Information technologies. – Т.9, №1, 2024. – P. 79-87. DOI: 10.18413/2518-1092-2024-9-1-0-9
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