Table 5 DNN Architecture
From: Model fusion of deep neural networks for anomaly detection
Operation layer | Size and activation |
|---|---|
Dense | 128 (Relu) |
Dropout | 0.5 |
Dense | 64 (Relu) |
Dropout | 0.2 |
Dense | 32 (Relu) |
Dropout | 0.2 |
Dense (classes) | 2 or 4 or 5 (Softmax) |
From: Model fusion of deep neural networks for anomaly detection
Operation layer | Size and activation |
|---|---|
Dense | 128 (Relu) |
Dropout | 0.5 |
Dense | 64 (Relu) |
Dropout | 0.2 |
Dense | 32 (Relu) |
Dropout | 0.2 |
Dense (classes) | 2 or 4 or 5 (Softmax) |