卷积神经网络中激活函数的比较

2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI:10.1109/TELECOM50385.2020.9299559

Maria Pavlova

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引用次数: 1

摘要

卷积神经网络(CNN)是一种输入仅为图像的网络。作为一种强大的物体识别工具，它是非常有用的。本文介绍了用CNN识别森林火灾的目标识别领域的一部分研究。本文介绍了在CNN中使用的不同的激活函数，本文的目的是对它们进行比较。这一领域的研究存在局限性，本文提供了相关信息。

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Comparison of Activation Functions in Convolution Neural Network

The Convolution Neural Network (CNN) is a network with an input that is solely images. It is very useful as a powerful instrument for object recognition. This paper presents a part of a research in an area of the object recognition with a CNN for recognition of forest fires. The paper presents the different activation functions used in the CNN and the aim of the paper is a comparison between all of them. There are limitations in this field of research and in this paper information on them is provided.

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2020 28th National Conference with International Participation (TELECOM)

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