Table 2.
No. | Layer | Information | Param | |
---|---|---|---|---|
1 | Input layer | Size | 256 × 256 | |
2 | Conv2D | Number of filters | 24 | 624 |
Kernel size | 5 × 5 | |||
Stride | 4 × 2 | |||
Activation | RELU | |||
3 | Conv2D | Number of filters | 48 | 28,848 |
Kernel size | 5 × 5 | |||
Stride | 1 × 1 | |||
4 | MaxPooling2D | Kernel size | 4 × 2 | |
Stride | 4 × 2 | |||
5 | Conv2D | Number of filters | 16 | 6928 |
Kernel size | 3 × 3 | |||
Stride | 1 × 1 | |||
Activation | RELU |