Research Article
Deep Learning Methods for Underwater Target Feature Extraction and Recognition
Table 1
CNN structure parameters.
| Layer number | Type | Number of feature figures | Size of feature figures | Size of kernel | Length of step |
| | Input layer | 1 | | ā | ā | | Convolutional layer | 64 | | | 25 | | Sampling layer | 64 | | | 2 | | Convolutional layer | 128 | | | 1 | | Sampling layer | 128 | | | 2 | | Convolutional layer | 500 | | | 1 | | Full connection | 2000 | | | 1 | | Full connection | 100 | | | 1 | | Full connection | 3 | | | 1 |
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