Table 2.
Modified model architecture.
| Layer (type) | Output shape | Parameter # |
|---|---|---|
| ResNet50 (model) | (None, 7, 7, 2048) | 23,587,712 |
| Dropout_3 (dropout) | (None, 7, 7, 2048) | 0 |
| Flatten_2 (flatten) | (None, 100,352) | 0 |
| Dropout_4 (dropout) | (None, 100,352) | 0 |
| Dense_2 (dense) | (None, 1) | 100,353 |
| Total parameters: 23,688,065 | ||
| Trainable parameters: 100,353 | ||
| Nontrainable parameters: 23,587,712 | ||