Table 1.
Input layer | Input layer dimensions | Filter type | Filter size | Output layer |
---|---|---|---|---|
Input | 64 × 64 × 3 | Convolutional | 3 × 3 × 8 | Hidden layer 1 |
Hidden layer 1 | 32 × 32 × 8 | Residual | 3 × 3 × 16 | Hidden layer 2/3 |
Hidden layer 2/3 | 16 × 16 × 16 | Residual | 3 × 3 × 32 | Hidden layer 4/5 |
Hidden layer 4/5 | 8 × 8 × 32 | Residual | 3 × 3 × 32 | Hidden layer 5/6 |
Hidden layer 5/6 | 8 × 8 × 32 | Residual | 3 × 3 × 64 | Hidden layer 6/7 |
Hidden layer 6/7 | 4 × 4 × 64 | Residual | 3 × 3 × 64 | Hidden layer 8/9 |
Hidden layer 8/9 | 4 × 4 × 64 | Residual | 3 × 3 × 64 | Hidden layer 10/11 |
Hidden layer 10/11 | 4 × 4 × 64 | Linear | × 16 | Hidden layer 12 |
Hidden layer 12 | 1 × 16 | Linear | 16 × 8 | Hidden layer 13 |
Hidden layer 13 | 1 × 8 | Softmax | 8 × 4 | Classification |