Table 3 Network architecture of proposed image classification
Layer (type) | Output shape | Param# |
|---|---|---|
Input_4(InputLayer) | (None, 512) | 0 |
Batch_normalization_4(Batch) | (None, 512) | 2048 |
Dropout_4(Dropout) | (None, 512) | 0 |
Dense_4(Dense) | (None, 512) | 262,656 |
Batch_normalization_5(Batch) | (None, 512) | 2048 |
Dropout_5(Dropout) | (None, 512) | 0 |
Dense_5(Dense) | (None, 512) | 262,656 |
Batch_normalization_6(Batch) | (None, 512) | 2048 |
Dropout_6(Dropout) | (None, 512) | 0 |
Dense_6(Dense) | (None, 1) | 513 |