Table 3. Model summary for CNNs.
CNN-1 | CNN-2 | CNN-3 |
---|---|---|
Convolutional Layer -1 | Convolutional Layer-1 | Convolutional Layer-1 |
Max Pooling-1 | Max Pooling-1 | Batch Normalization-1 |
Convolutional Layer-2 | Convolutional Layer-2 | Max Pooling-1 |
Max Pooling-2 | Max Pooling-2 | Convolutional Layer-2 |
Convolutional Layer-3 | Convolutional Layer-3 | Max Pooling-2 |
Max Pooling-3 | Max Pooling-3 | Convolutional Layer-3 |
Convolutional Layer-4 | Convolutional Layer-4 | Max Pooling-3 |
Max Pooling-4 | Max Pooling-4 | Convolutional Layer-4 |
Flatten-1 | Convolutional Layer-5 | Batch Normalization-2 |
Dense-1 | Max Pooling-5 | Max Pooling-4 |
Dropout-1 | Flatten | Convolutional Layer-5 |
Dense-2 | Dense-1 | Max Pooling-5 |
Dense-2 | Convolutional Layer-6 | |
Dense-3 | Batch Normalization-3 | |
Max Pooling-6 | ||
Flatten | ||
Dense-1 | ||
Batch Normalization-4 | ||
Dropout | ||
Dense-3 |