Table 3 Structure of CNN
From: A robust modulation classification method using convolutional neural networks
Layer number | Layer type | Parameters | Layer number | Layer type | Parameters |
|---|---|---|---|---|---|
1 | Conv | (35, 4) | 12 | Conv | (50, 4) |
2 | Convl | (35, 4) | 13 | Conv | (50, 4) |
3 | Pooling | (2, 2) | 14 | Conv | (50, 4) |
4 | Conv | (40, 4) | 15 | Conv | (50, 4) |
5 | Conv | (40, 4) | 16 | Pooling | (2, 2) |
6 | Pooling | (2, 2) | 17 | Conv | (60, 4) |
7 | Conv | (45, 4) | 18 | Conv | (60, 4) |
8 | Conv | (45, 4) | 19 | Conv | (60, 4) |
9 | Conv | (45, 4) | 20 | Conv | (60, 4) |
10 | Conv | (45, 4) | 21 | Global pooling | None |
11 | Pooling | (2, 2) | 22 | Softmax | 15 |