Table 2.
AlexNet 3D CNN model.
| Layer | Output shape | Param (#) |
|---|---|---|
| Conv 3d_1 (conv 3D) | (None 32, 32, 32, 16) | 8208 |
| Batch_normalization_v1 | (None 32, 32, 32, 16) | 64 |
| Max_pooling 3D_1 | (None 16, 16, 16, 16) | 0 |
| Conv3d_1 (Conv 3D) | (None 16, 16, 16, 32) | 13856 |
| Batch_normalization_v1_2 | (None 16, 16, 16, 32) | 128 |
| Max_pooling3d_2 | (None 8, 8, 8, 312) | 0 |
| Conv3d_3 | (None 8, 8, 8, 64) | 55360 |
| Batch_normalization_v1_3 | (None 8, 8, 8, 64) | 256 |
| Conv3d_4 | (None 8, 8, 8, 64) | 110656 |
| Batch_normalization_v1_4 | (None 8, 8, 8, 64) | 256 |
| Conv3d_5 (conv 2D) | (None 8, 8, 8, 32) | 53328 |
| Batch_normalization_v1_5 | (None 8, 8, 8, 32) | 128 |
| Max_pooling2d_3 | (None 4, 4, 4, 32) | 0 |
| Falatten_1 (flatten layer) | (None, 2048) | 0 |
| Dense_1 (dense layer) | (None, 200) | 409800 |
| Batch_normalization_v1_6 | (None, 200) | 800 |
| Dropout_1 (dropout) | (None, 200) | 0 |
| Dense_2 (dense layer) | (None, 75) | 15075 |
| Batch_normalization_v1_7 | (None, 75) | 300 |
| Dropout_2 (dropout) | (None, 75) | 0 |
| Dense_3 (dense) | (None, 2) | 152 |