The Most Used Activation Functions: Classic Versus Current

Marina Adriana Mercioni, S. Holban
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引用次数: 28

Abstract

This paper is an overview of the most used activation functions, classic functions and current functions as well. When we say classic, we mean the first activation functions, the most popular and used in the past. But due to their disadvantages appeared other new activation functions that we refer them as current. These most influential functions are among the most known artificial intelligence activation functions in the research of Machine learning and Deep Learning as well. With each function, we provide a brief description of the activation function, discuss its impact and show the domain where it is applicable, its advantages and disadvantages and more details to have an overview. These functions cover more issues like vanishing gradient, exploding gradient when we are using Gradient Descent and so on. These solutions to these issues are all among the most important topics in Artificial Intelligence research and development part.
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最常用的激活功能:经典vs电流
本文对常用的激活函数、经典函数和当前的激活函数进行了概述。当我们说经典时,我们指的是第一个激活函数,过去最流行和使用的函数。但由于它们的缺点,出现了其他新的激活函数,我们称之为电流。这些最具影响力的函数也是机器学习和深度学习研究中最知名的人工智能激活函数之一。对于每个函数,我们提供了激活函数的简要描述,讨论了它的影响,并展示了它适用的领域,它的优点和缺点,以及更多的细节来进行概述。这些函数涵盖了更多的问题,如梯度消失,梯度爆炸,当我们使用梯度下降等。这些问题的解决方案都是人工智能研究与开发部分的重要课题。
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