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Architectures of the CNNs for the classification and regression in this study.
| classification/regression | ||
|---|---|---|
| Layer | Filter size | # of filters or elements |
| Convolution | 3 × 3 × 3 | 16 |
| Leaky ReLU | — | — |
| Batch normalization | — | — |
| Max pooling | 2 × 2 × 2 | — |
| Convolution | 3 × 3 × 3 | 16 |
| Leaky ReLU | — | — |
| Max pooling | 2 × 2 × 2 | — |
| Convolution | 3 × 3 × 3 | 16 |
| Leaky ReLU | — | — |
| Full connected | — | 64/32 |
| Leaky ReLU | — | — |
| Full connected | — | 64/8 |
| Leaky ReLU | — | — |
| Full connected | — | 50/1 |
| Soft max/Linear | — | — |
