Open Access
Table 4
Hyperparameters of the neural network.
| Parameter | Value |
|---|---|
| Architecture | |
| Starting convolution window | [7 × 7] |
| Convolution stride | 1 |
| Convolution padding | 0 |
| Convolution activation | ReLU |
| Dropout probability | 0.3 |
| Pooling type | MaxPooling |
| Pooling size | 2 × 2 |
| Number of convolution layers | 10 |
| Number of pooling layers | 4 |
| Number of dense layers | 6 |
| Dense activation function | ReLU |
| Optimization | |
| Batch size | 32 |
| Learning rate | 2.5 × 10−4 |
| Optimizer | Adam |
| Loss function | Categorical crossentropy |
| Early stopping Δ and patience | 10−4, 19 epochs |
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