激活函数
人工神经网络
计算机科学
人工智能
物理神经网络
神经系统网络模型
时滞神经网络
人工神经网络的类型
随机神经网络
功能(生物学)
进化生物学
生物
作者
Andrinandrasana David Rasamoelina,Fouzia Adjailia,Peter Sinčák
标识
DOI:10.1109/sami48414.2020.9108717
摘要
The activation function plays an important role in the training and the performance of an Artificial Neural Network. They provide the necessary non-linear properties to any Artificial Neural Network. In this work, we provide a review of the most common and recent activation functions used in the hidden layer of an artificial Neural Network.
科研通智能强力驱动
Strongly Powered by AbleSci AI