Research Article
Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning
Table 1
Parameter setting of deep convolutional neural network.
| Number of layers | Function |
| 1 | Input layers | 2 | Convolutional layers 3–64 | 3 | Convolutional layers 3–64 | 4 | Maximum pooling layer | 5 | Convolutional layer 3–128 | 6 | Convolutional layer 3–128 | 7 | Maximum pooling layer | 8 | Convolutional layer 3–256 | 9 | Convolutional layer 3–256 | 10 | Maximum pooling layer | 11 | Convolutional layer 3–512 | 12 | Convolutional layer 3–512 | 13 | Maximum pooling layer | 14 | Convolutional layer 3–512 | 15 | Convolutional layer 3–512 | 16 | Fully connected layer 3072 | 17 | Fully connected layer 1024 | 18 | Output layer |
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