Figure 1.
Figure 2.
Figure 3.
Figure 4.
resnet50 architecture
| convolutional layer | output layer | ResNet50 |
|---|---|---|
| Conv-1 | 112×112 | 7×7, 64, S=2 3×3 maxpool, S=2 |
| Conv2-x | 56×56 | |
| Conv3-x | 28×28 | |
| Conv4-x | 14×14 | |
| Conv5-x | 7×7 | |
| 1×1 | Average_pool,1000-dfc, Soft_max | |
| Flops | 3.8×109 | |