表 2. Structures of two-stream convolutional neural networks.
分支卷积神经网络的结构
层名 | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
Conv1a | 16 ×(3 × 3) | 32 ×(3 × 3) | 64 ×(3 × 3) | 128 ×(3 × 3) | 128 ×(3 × 3) |
Dropout1a | 0.4 | ||||
Conv1b | 16 ×(5 × 5) | 32 ×(5 × 5) | 64 ×(5 × 5) | 128 ×(5 × 5) | 128 ×(5 × 5) |
Dropout1b | 0.4 | ||||
Conv2 | 128 ×(3 × 3) | 128 ×(3 × 3) | 128 ×(3 × 3) | 128 ×(3 × 3) | 256 ×(3 × 3) |
Maxpooling2 | 2 × 2 | ||||
Dropout2 | 0.4 | ||||
Dense1 | 256 | ||||
Dropout3 | 0.4 | ||||
Dense2 | 512 | ||||
Dropout4 | 0.4 | ||||
Softmax | 2 |