基于神经网络技术的人脸识别应用开发

K. Nikolskaia, Napolskih Ilya, A. Minbaleev
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引用次数: 1

摘要

识别和分类是机器学习的主要任务,具有广泛的应用:确定手写数字,识别视频记录中的对象,使用MRI扫描进行诊断等等。目前,神经网络技术最常见的应用之一是在照片或视频中的人脸识别。例如,Facebook等公司目前正在使用神经网络技术,通过用户的一般照片中的面孔来识别他们的朋友。本文讨论了神经网络技术在人脸识别中的应用。所开发的系统具有相对较小的尺寸和足够高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of the Face Recognition Application Using Neural Networks Technology
Recognition and classification are the main tasks of machine learning with a wide range of applications: determining handwritten numbers, identifying objects in video recordings, diagnostics using MRI scanning, and much more. Currently, one of the most common applications of neural network technology is face recognition in photographs or in video. For example, corporations such as Facebook are currently using neural network technologies to identify a user's friends by their faces in general photos. The paper discusses the development of face recognition applications using neural network technologies. The developed system has a relatively small size and works with a sufficiently high accuracy.
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