Table 3 Architectural parameters of transfer learning models
Models | Depth (layers) | Parameters (in million) | Input layer size | Output layer size |
|---|---|---|---|---|
VGG16 | 23 | 138.3 | (224, 224, 3) | (4, 1) |
InceptionResNetV2 | 572 | 55.8 | (224, 244, 3) | (4, 1) |
InceptionV3 | 159 | 23.8 | (224, 224, 3) | (4, 1) |
MobileNetV2 | 88 | 3.5 | (224, 224, 3) | (4, 1) |
DenseNet201 | 201 | 20.2 | (224, 224, 3) | (4, 1) |