Research Article
Real-Time Analysis of Youth Emotion Based on Python Language and Smart Sensor Network
Table 3
Constructed convolutional neural networks with fully connected layers.
| Layers | Output size | Patch size/stride/padding |
| Conv1 | 32@ | /4 | Relu1 | | | Norm1 | | | Maxpool1 | 32@ | /2 | Conv2 | 64@ | /1 | Relu2 | | | Norm2 | | | Maxpool2 | 64@ | /2 | Conv3 | 128@ | /1 | Relu3 | | | Conv4 | 256@ | /1 | Relu4 | | | Maxpool4 | 256@ | /2 | Fc5 | 256 | | Relu5 | | | Drop5 | | | Fc6 | 512 | | Relu6 | | | Drop6 | | | Fc7 | 6 | |
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