Table 2.
Network | Layer | Accuracy | Neurons | Precision | Recall | F1-score | Error |
---|---|---|---|---|---|---|---|
DenseNet201 | conv4_block9_1_bn | 0.85 | 5000 | 0.85 | 0.87 | 0.85 | 0.14 |
AlexNet | drop7 | 0.83 | 5000 | 0.83 | 0.85 | 0.83 | 0.12 |
GoogleNet | pool5-drop_7 × 7_s1 | 0.81 | 5000 | 0.81 | 0.83 | 0.81 | 0.18 |
Inceptionv3 | activation_94_relu | 0.78 | 5000 | 0.75 | 0.79 | 0.76 | 0.22 |
ResNet101 | pool5 | 0.84 | 5000 | 0.83 | 0.85 | 0.83 | 0.16 |
ResNet18 | pool5 | 0.75 | 5000 | 0.79 | 0.81 | 0.79 | 0.2 |
ResNet50 | avg_pool | 0.82 | 5000 | 0.82 | 0.82 | 0.82 | 0.82 |