Research Article
Nonlinear All-Optical Diffractive Deep Neural Network with 10.6 μm Wavelength for Image Classification
Table 10
The classification accuracy in the standard N-D2NN model 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 | 84.27 | 86.42 | 87.36 | 86.94 | 86.64 | 86.56 | 86.52 | 86.50 | 40 | 82.18 | 86.23 | 87.07 | 87.44 | 86.67 | 86.61 | 86.94 | 86.77 | 50 | 75.45 | 86.14 | 85.94 | 87.59 | 87.12 | 86.72 | 86.83 | 87.03 | 60 | 64.99 | 83.27 | 87.10 | 87.14 | 87.41 | 86.94 | 86.80 | 86.97 | 70 | 61.90 | 83.04 | 86.83 | 87.65 | 86.96 | 86.88 | 86.75 | 86.59 |
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