Research Article
DCAST: A Spatiotemporal Model with DenseNet and GRU Based on Attention Mechanism
Table 2
Parameter settings of the DCAST model.
| | Parameters | Value |
| | Number of dense blocks | 3 | | Number of GRU layers | 2 | | Number of filters | 32 | | Filters size | (3, 3) | | Number of GRU hidden layer neurons | 128, 128 | | Dropout rate | 0.5 | | Learning rate | 0.001 | | Batch size | 512 | | Epoch | 150 | | Optimizer | Adam |
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