Research Article
Online English Teaching Quality Assessment Based on K-Means and Improved SSD Algorithm
Table 1
Network layer parameters of improved DenseNet.
| Network layer name | Output size per pixel | Image manipulation |
| Convolution 1 | 64 × 150 × 150 | 3 × 3 conv, stride 2 | Convolution 2 | 64 × 150 × 150 | 3 × 3 conv, stride 1 | Convolution 3 | 128 × 150 × 150 | 3 × 3 conv, stride 1 | Pooling | 128 × 75 × 75 | 2 × 2 max pool, stride 2 | Dense block 1 | 416 × 75 × 75 | (1 × 1 conv, 3 × 3 conv) × 6 | Dense block 2 | 800 × 38 × 38 | (1 × 1 conv, 3 × 3 conv) × 8 | Dense block 3 | 1,184 × 19 × 19 | (1 × 1 conv, 3 × 3 conv) × 8 | Dense block 4 | 1,586 × 19 × 19 | (1 × 1 conv, 3 × 3 conv) × 8 | Transition layer 1 | 416 × 75 × 75 | 1 × 1 conv | 416 × 38 × 38 | 2 × 2 max pool, stride 2 | Transition layer 2 | 800 × 38 × 38 | 1 × 1 conv | 800 × 19 × 19 | 2 × 2 max pool, stride 2 | Transition layer 3 | 1,184 × 19 × 19 | 1 × 1 conv | Transition layer 4 | 1,586 × 19 × 19 | 1 × 1 conv |
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