Advances, Systems and Applications
Table 2 displays the outcomes obtained from AlexNet implementation with the SoftMax model
Scale | Architecture | Accuracy | Recall | Computational complexity |
|---|---|---|---|---|
High (100%) | CNN | 89.30% | 88.78% | Low |
VGG-16 | 90.44% | 90.12% | Moderate | |
VGG-19 | 92.60% | 91.76% | High | |
AlexNet | 93.24% | 93.01% | Moderate | |
Moderate (50%) | CNN | 88.83% | 85.41% | Low |
VGG-16 | 88.53% | 86.74% | Moderate | |
VGG-19 | 89.90% | 89.25% | High | |
AlexNet | 90.73% | 89.79% | Low | |
Low (30%) | CNN | 86.14% | 84.90% | Low |
VGG-16 | 87.38% | 85.47% | Moderate | |
VGG-19 | 88.29% | 87.02% | High | |
AlexNet | 89.39% | 88.18% | Low |