ANALYSIS OF CONVOLUTIONAL NEURAL NETWORK METHODS FOR FACIAL RECOGNITION
Abstract
The article discusses the main stages of the process of analyzing and recognizing facial images using a convolutional neural network and their advantages, including eliminating uncertainties that arise during facial recognition. Also, from a scientific and practical point of view, the architecture, requirements, and systems for developing convolutional neural network models for facial recognition are described.
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