Open Access
Table A.1.
Characteristics of each layer of the CNN architecture.
| Layer | Inputs | Kernel size | h × w | #feature maps |
|---|---|---|---|---|
| C1 | Input image | 5 × 5 | 64 × 64 | 64 |
| P1 | C1 | 2 × 2 (stride 2 pix) | 32 × 32 | 64 |
| C2, C3, C4 | P1 | 1 × 1, 1 × 1, 1 × 1 | 32 × 32, 32 × 32, 32 × 32 | 48, 48, 48 |
| C5 | P1 | 1 × 1 | 32 × 32 | 64 |
| C6 | C2 | 3 × 3 | 32 × 32 | 64 |
| C7 | C3 | 5 × 5 | 32 × 32 | 64 |
| P2 | C4 | 2 × 2 (stride 1 pix) | 32 × 32 | 48 |
| Co1 | – | – | 32 × 32 | 240 |
| C8, C9, C10 | Co1 | 1 × 1, 1 × 1, 1 × 1 | 32 × 32, 32 × 32, 32 × 32 | 64, 64, 64 |
| C11 | Co1 | 1 × 1 | 32 × 32 | 92 |
| C12 | C8 | 3 × 3 | 32 × 32 | 92 |
| C13 | C9 | 5 × 5 | 32 × 32 | 92 |
| P3 | C10 | 2 × 2 (stride 1 pix) | 32 × 32 | 64 |
| Co2 | – | – | 32 × 32 | 340 |
| P4 | Co2 | 2 × 2 (stride 2 pix) | 16 × 16 | 340 |
| C14, C15, C16 | P4 | 1 × 1, 1 × 1, 1 × 1 | 16 × 16, 16 × 16, 16 × 16 | 92, 92, 92 |
| C17 | P4 | 1 × 1 | 16 × 16 | 128 |
| C18 | C14 | 3 × 3 | 16 × 16 | 128 |
| C19 | C15 | 5 × 5 | 16 × 16 | 128 |
| P5 | C16 | 2 × 2 (stride 1 pix) | 16 × 16 | 92 |
| Co3 | – | – | 16 × 16 | 476 |
| C20, C21, C22 | Co3 | 1 × 1, 1 × 1, 1 × 1 | 16 × 16, 16 × 16, 16 × 16 | 92, 92, 92 |
| C23 | Co3 | 1 × 1 | 16 × 16 | 128 |
| C24 | C20 | 3 × 3 | 16 × 16 | 128 |
| C25 | C21 | 5 × 5 | 16 × 16 | 128 |
| P6 | C22 | 2 × 2 (stride 1 pix) | 16 × 16 | 92 |
| Co4 | – | – | 16 × 16 | 476 |
| P7 | Co4 | 2 × 2 (stride 2 pix) | 8 × 8 | 476 |
| C26, C27 | P7 | 1 × 1, 1 × 1 | 8 × 8, 8 × 8 | 92, 92 |
| C28 | P7 | 1 × 1 | 8 × 8 | 128 |
| C29 | C26 | 3 × 3 | 8 × 8 | 128 |
| P8 | C27 | 2 × 2 (stride 1 pix) | 8 × 8 | 92 |
| Co5 | – | – | 8 × 8 | 348 |
| FC1, FC2 | Co5, FC1 | – | – | 1024, 1024 |
Notes. Columns are: name of the layer, input layer, size of the convolution kernel (in pixels), size (height × width in pixels) and number of the resulting feature maps.
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