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Research of the Effectiveness of Convolutional Neural Networks by the Example of Determining the Gait of a Horse

机译:卷积神经网络的效力研究实现了一匹马的步态的例子

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We focused this article on the research on the efficiency of convolution neural networks using the example of solving the problem of horse gait classification. A theoretical research of the structure and principle of operation of convolution neural networks was carried out. The paper deals with methods for improving the accuracy and loss values of a neural network. Methods for assembling a data set for deep learning have been also researched. The input data are video converted to images that are sent to the neural network. An experiment was conducted to create a convolution neural network and analysis of effectiveness was used in the formulated problem.
机译:我们将这篇文章专注于利用解决马步态分类问题的举例的卷积神经网络效率研究。进行了对卷积神经网络的运行结构和原则的理论研究。本文涉及提高神经网络的准确性和损耗值的方法。还研究了组装用于深度学习的数据集的方法。输入数据是转换为发送到神经网络的图像的视频。进行实验以创造卷积神经网络,并在制定的问题中使用了有效性分析。

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