TABLE I. Bipolar CNN Architecture.
Table I provides the individual layer configuration details for the DeepBipolar convolutional neural network architecture.
| Chromosome | Layer | Number of Kernel | Kernel Size | Pool Size |
|---|---|---|---|---|
| Chromosome 1-Chromosome X | Convolution 1 | 64 | 60 | - |
| Convolution 2 | 64 | 60 | - | |
| Max Pool 1 | - | - | 2 | |
| Convolution 4 | 128 | 30 | - | |
| Convolution 5 | 128 | 30 | - | |
| Max Pool 2 | - | - | 2 | |
| Fully Connected 1 | 64 | - | - | |
| Combined Layers | Combined Fully Connected 1(Merge Mode: Sum) | 128 | - | - |
| Combined Fully Connected 2 | 64 | - | - | |
| Output Layer | Sigmoid | 2 | - | - |