CLEO-PR2022/ISOM'22/ODF'22

講演情報

Oral Session

ISOM '22 » Optical Information

[ITuPJ] Optical Information

2022年8月2日(火) 17:15 〜 17:45 Room 107&108 (1F)

Session Chair: Hiroshi Ohno (Toshiba)

17:15 〜 17:30

[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.