Table 2.
Pre-trained cutting-edge CNN models’ layers, parameters, and size.
| Model | Depth | Parameters (M) | Size (MB) |
|---|---|---|---|
| AlexNet | 11 | 60 | 227 |
| DenseNet121 | 242 | 8.1 | 33 |
| MobileNetV2 | 105 | 3.5 | 14 |
| Xception | 81 | 22.9 | 88 |
| InceptionV3 | 189 | 23.9 | 92 |
| ResNet50V2 | 103 | 25.6 | 98 |
Pre-trained cutting-edge CNN models’ layers, parameters, and size.
| Model | Depth | Parameters (M) | Size (MB) |
|---|---|---|---|
| AlexNet | 11 | 60 | 227 |
| DenseNet121 | 242 | 8.1 | 33 |
| MobileNetV2 | 105 | 3.5 | 14 |
| Xception | 81 | 22.9 | 88 |
| InceptionV3 | 189 | 23.9 | 92 |
| ResNet50V2 | 103 | 25.6 | 98 |