Research Article
Prediction of Urban Street Public Space Art Design Indicators Based on Deep Convolutional Neural Network
Table 2
The structure and parameter configuration of each VGGNet model.
| 8 weight layers | 10 weight layers | 12 weight layers | 14 weight layers | 16 weight layers |
| Input layer | conv3-64 | conv3-64 | conv3-128 | conv3-128 conv3-64 | conv3-128 conv3-128 | Max pool | conv3-512 conv3-512 | conv3-512 conv3-512 | conv3-512 conv3-512 | conv3-512 conv3-512 conv1-512 | conv3-512 conv3-512 conv3-512 conv3-512 | Max pool | FC-1024 | FC-1024 | FC-512 | SoftMax |
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