CLEO-PR2022/ISOM'22/ODF'22

Presentation information

Oral Session

ISOM '22 » Optical Information

[ITuPJ] Optical Information

Tue. Aug 2, 2022 5:15 PM - 5:45 PM Room 107&108 (1F)

Session Chair: Hiroshi Ohno (Toshiba)

5:15 PM - 5:30 PM

[ITuPJ-01] Dependence of activation function on image recognition accuracy in self-referential holographic deep neural network

*Rio Tomioka1, Masanori Takabayashi1 (1. Kyushu Inst. of Tech. (Japan))

[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.