Table 3.
Feature extraction model layout.
| Layers | Parameters | Activation Function, Batch Normalization Function, Dropout | Output Shape |
|---|---|---|---|
| Conv2D_1 | Kernel Size: 3 × 3 | ReLU, Yes, No | (222, 222, 8) |
| MaxPooling2D_1 | Kernel Size: 2 × 2 | None | (111, 111, 8) |
| Conv2D_2 | Kernel Size: 3 × 3 | ReLU, Yes, No | (109, 109, 16) |
| MaxPooling2D_2 | Kernel Size: 2 × 2 | None | (54, 54, 16) |
| Conv2D_3 | Kernel Size: 3 × 3 | ReLU, Yes, No | (52, 52, 32) |
| MaxPooling2D_3 | Kernel Size: 2 × 2 | None | (26, 26, 32) |
| Conv2D_4 | Kernel Size: 3 × 3 | ReLU, Yes, No | (26, 26, 64) |
| MaxPooling2D_4 | Kernel Size: 2 × 2 | None | (12, 12, 64) |
| Flatten Layer | None | None | (10,816) |
| Dense_1 | None | ReLU, Yes, Yes | (128) |
| Dense_2 | None | ReLU, Yes, Yes | (100) |