Proposal of New Activation Function in Deep Image Prior | Zendy

Segawa Ryo | Zendy; Hayashi Hitoshi | Zendy; Fujii Shohei | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Proposal of New Activation Function in Deep Image Prior

Author(s) -

Segawa Ryo,

Hayashi Hitoshi,

Fujii Shohei

Publication year - 2020

Publication title -

ieej transactions on electrical and electronic engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 30

eISSN - 1931-4981

pISSN - 1931-4973

DOI - 10.1002/tee.23191

Subject(s) - image (mathematics) , activation function , function (biology) , value (mathematics) , artificial intelligence , computer science , algorithm , machine learning , artificial neural network , evolutionary biology , biology

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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research