Table 1.
Model | Depth | Size | Parameters (Millions) | Image Input Size |
---|---|---|---|---|
ResNet50 | 50 | 96 MB | 25.6 | 224 × 224 |
ResNet101 | 101 | 167 MB | 44.6 | 224 × 224 |
VGG16 | 16 | 515 MB | 138 | 224 × 224 |
VGG19 | 19 | 535 MB | 144 | 224 × 224 |
GoogleNet | 22 | 27 MB | 7 | 224 × 224 |
MobileNet V2 | 53 | 13 MB | 3.5 | 224 × 224 |
AlexNet | 8 | 227 MB | 61 | 227 × 227 |
DenseNet201 | 201 | 77 MB | 20 | 224 × 224 |
Note: These 8 pre-trained networks have different network depths, network sizes, network parameter scales, and input image sizes, and they cover almost all forms of current deep learning models. The results obtained from the validation experiments on these 8 pre-trained models with small samples are generalizable.