Table 4.
CNN architecture with a fixed dropout rate of 0.5 and learning rate of .
| Layer Name | No. Kernels (Units) | Kernel (Pool) Size | Stride | Activation |
|---|---|---|---|---|
| Convolutional | 64 | (1,1) | (1,1) | ReLU |
| Batch Norm | - | - | - | - |
| Convolutional | 32 | (1,1) | (1,1) | ReLU |
| Convolutional | 16 | (1,1) | (1,1) | ReLU |
| Flatten | - | - | - | - |
| Dense | 2 | - | - | Softmax |