Open Access
Table A.2
Selected architecture and hyperparameters.
| Layer Type | Layer Description |
|---|---|
| Input | Size: 32x32x1 |
| Convolutional | No. of Filters: 16, Filter Size: 3, Activation: Relu, Padding: Same |
| Convolutional | No. of Filters: 16, Filter Size: 3, Activation: Relu, Padding: Same |
| Max-Pooling | Kernel Size: 2 |
| Convolutional | No. of Filters: 32, Filter Size: 3, Activation: Relu, Padding: Same |
| Convolutional | No. of Filters: 32, Filter Size: 3, Activation: Relu, Padding: Same |
| Max-Pooling | Kernel Size: 2 |
| Fully Connected | No. of Neurons: 1024, Activation: ReLu |
| Dropout | Dropout Probability: 30% |
| Fully Connected | No. of Neurons: 512, Activation: ReLu |
| Dropout | Dropout Probability: 30% |
| Fully Connected | No. of Neurons: 8, Activation: Softmax |
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