Table 3 Different 3D CNN architecture.
From: AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data
Model | Convolutional layers | Pooling layers | Dense layers |
|---|---|---|---|
1 | 1,2,4 filters | Max Pooling (2 × 2 × 2) after each layer | 4 neurons |
2 | 2,4,8 filters | Max Pooling (2 × 2 × 2) after each layer | 8 neurons |
3 | 4,8,16 filters | Max Pooling (2 × 2 × 2) after each layer | 4 neurons |
4 | 4, 8, 16 filters | Max Pooling (2 × 2 × 2) after each layer | 8 neurons |
5 | 4, 8, 16 filters | Max Pooling (2 × 2 × 2) after each layer | 16 neurons |
6 | 4, 8, 16 filters | Max Pooling (2 × 2 × 2) after each layer | 32 neurons |
