We propose a new activation function and verify its performance in a deep image prior network. The new activation function is RSwish, which is Swish with a random slope for x < 0 assuming that the input value of the activation function is x. In addition, we manipulate the probability of the random number and observe the effect. As a result, we found that RSwish can perform better than Swish by manipulating probabilities according to the degree of color change in the image. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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深层图像优先中新激活功能的建议

我们提出了一个新的激活功能，并在一个深层图像先验网络中验证了其性能。新的活化功能RSwish，这是与沙沙用于随机斜率X  <0假设激活函数的输入值是X。另外，我们操纵随机数的概率并观察其效果。结果，我们发现通过根据图像中颜色变化的程度来操纵概率，RSwish的性能要优于Swish。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。