为进一步的神经网络教学获取视频的情感色彩

O. Medvedeva, S. Mustafina, Dmitry Petrov, Rustam Salavatov, S. Mustafina
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引用次数: 3

摘要

随着在线视频服务的发展,机器学习技术也在不断发展。在这个发展阶段,神经网络允许我们识别传入数据中的模式,而它们在各种技术中的大量使用并不会让人感到惊讶。其中一个特殊的问题是基于视频数据的网络训练。本文致力于在神经网络的帮助下对视频的情感色彩进行聚类,或者更准确地说,这种方法可以加速神经网络的训练,并在随后的动作中确定视频的情感色彩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Getting the Emotional Coloring of Videos for Further Teaching of Neural Networks
With the development of online video services, machine learning technologies are developing. At this stage of development, neural networks allow us to identify patterns in the incoming data, while their mass usage in various technologies does not surprise with its vastness. The special problem is the training of networks based on video data. This article is devoted to the tasks of clustering video on emotional coloring with the help of neural networks, or more precisely, the approach which allows to accelerate the training of the neural network and to determine the emotional coloring of the video in subsequent actions.
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