17:15 〜 17:30
[ITuPJ-01] Dependence of activation function on image recognition accuracy in self-referential holographic deep neural network
[Presentation Style] Onsite
We numerically compared the image recognition properties of self-referential holographic deep neural network (SR-HDNN) with various activation functions. The image recognition rate was improved to 87.1% by applying intensity-ReLU function to SR-HDNN.