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Optical–electronic hybrid Fourier convolutional neural network based on super-pixel complex-valued modulation
- Source :
- Applied Optics. 62:1337
- Publication Year :
- 2023
- Publisher :
- Optica Publishing Group, 2023.
-
Abstract
- An optical–electronic hybrid convolutional neural network (CNN) system is proposed and investigated for its parallel processing capability and system design robustness. It is regarded as a practical way to implement real-time optical computing. In this paper, we propose a complex-valued modulation method based on an amplitude-only liquid-crystal-on-silicon spatial light modulator and a fixed four-level diffractive optical element. A comparison of computational results of convolutions between different modulation methods in the Fourier plane shows the feasibility of the proposed complex-valued modulation method. A hybrid CNN model with one convolutional layer of multiple channels is proposed and trained electrically for different classification tasks. Our simulation results show that this model has a classification accuracy of 97.55% for MNIST, 88.81% for Fashion MNIST, and 56.16% for Cifar10, which outperforms models using only amplitude or phase modulation and is comparable to the ideal complex-valued modulation method.
Details
- ISSN :
- 21553165 and 1559128X
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- Applied Optics
- Accession number :
- edsair.doi...........d937d116df915f060b7dbc71b022b0eb
- Full Text :
- https://doi.org/10.1364/ao.478540