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 nameOutput size per pixelImage manipulation

Convolution 164 × 150 × 1503 × 3 conv, stride 2
Convolution 264 × 150 × 1503 × 3 conv, stride 1
Convolution 3128 × 150 × 1503 × 3 conv, stride 1
Pooling128 × 75 × 752 × 2 max pool, stride 2
Dense block 1416 × 75 × 75(1 × 1 conv, 3 × 3 conv) × 6
Dense block 2800 × 38 × 38(1 × 1 conv, 3 × 3 conv) × 8
Dense block 31,184 × 19 × 19(1 × 1 conv, 3 × 3 conv) × 8
Dense block 41,586 × 19 × 19(1 × 1 conv, 3 × 3 conv) × 8
Transition layer 1416 × 75 × 751 × 1 conv
416 × 38 × 382 × 2 max pool, stride 2
Transition layer 2800 × 38 × 381 × 1 conv
800 × 19 × 192 × 2 max pool, stride 2
Transition layer 31,184 × 19 × 191 × 1 conv
Transition layer 41,586 × 19 × 191 × 1 conv