Research Article
Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 μm Wavelength for Image Classification
Table 9
The classification accuracy in the N-D2NN model adding the RReLU activation function corresponds to pixel size and diffraction grating spacing.
| Accuracy (%) | Pixel size | 30 × 30 | 40 × 40 | 50 × 50 | 60 × 60 | 70 × 70 | 80 × 80 | 90 × 90 | 100 × 100 |
| Spacing (λ) | 30 | 93.10 | 94.93 | 95.08 | 95.81 | 96.06 | 96.15 | 96.35 | 96.78 | 40 | 90.45 | 94.16 | 95.19 | 95.81 | 95.71 | 96.05 | 96.43 | 96.47 | 50 | 85.01 | 93.78 | 95.12 | 95.39 | 95.90 | 95.99 | 96.28 | 96.23 | 60 | 84.44 | 92.85 | 94.43 | 95.24 | 95.59 | 96.06 | 96.14 | 96.35 | 70 | 68.88 | 91.27 | 93.71 | 95.03 | 95.49 | 95.67 | 95.85 | 96.08 |
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