Table 4.
The general structure of MobileNet CNN.
| Layer Label | Input Layer Dimension | Filter and Stride Size |
|---|---|---|
| Convolution/S2 | 224 × 224 × 3 | Filter size = 3 × 3 × 3 × 32 Stride = 2 |
| Convolution/dw8/S1 | 112 × 112 × 32 | Filter size = 3 × 3 × 32 dw Stride = 1 |
| Convolution/S1 | 112 × 112 × 32 | Filter size 1 × 1 × 32 ×64 Stride = 1 |
| Convolution/dw/S2 | 112 × 112 × 64 | Filter size = 3 × 3 × 64 dw Stride = 2 |
| Convolution/S1 | 56 × 56 × 64 | Filter size 1 × 1 × 64 × 128 Stride = 1 |
| Convolution/dw/S1 | 56 × 56 × 128 | Filter size = 3 × 3 × 128 dw Stride = 2 |
| Convolution/S1 | 56 × 56 × 128 | Filter size 1 × 1 × 128 × 128 Stride = 1 |
| Convolution/dw/S2 | 56 × 56 × 128 | Filter size = 3 × 3 × 128 dw Stride = 2 |
| Convolution/S1 | 28 × 28 × 128 | Filter size 1 × 1 × 128 × 256 Stride = 1 |
| Convolution/dw/S1 | 28 × 28 × 256 | Filter size = 3 × 3 × 256 dw Stride = 1 |
| Convolution/S1 | 28 × 28 × 256 | Filter size 1 × 1 × 256 × 256 Stride = 1 |
| Convolution/dw/S2 | 56 × 56 × 128 | Filter size = 3 × 3 × 256 dw Stride = 2 |
| Convolution/S1 | 14 × 14 × 256 | Filter size 1 × 1 × 256 × 512 Stride = 1 |
| 5 × Convolution dw/S1 5 × Convolution S1 |
14 × 14 × 512 14 × 14 × 512 |
Filter size = 3 × 3 × 512 dw Filter size 1 × 1 × 512 × 512 Stride = 1 |
| Convolution dw/S2 | 14 × 14 × 512 | Filter size = 3 × 3 × 512 dw Stride 2 |
| Convolution/S1 | 7 × 7 × 512 | Filter size 1 × 1 × 512 × 512 Stride = 1 |
| Convolution dw/S2 | 7 × 7 × 1024 | Filter size = 3 × 3 × 1024 dw Stride 2 |
| Convolution/S1 | 7 × 7 × 1024 | Filter size 1 × 1 × 1024 × 1024 Stride = 1 |
| Pooling | Average Pooling= 7 × 7 Stride = 1 |
|
| 1 × 1 × 1024 | ||
| FC Layer | 1 ×1 × 1000 | |
dw stands for depthwise.