Open Access
Table 2.
Architecture and hyperparameters of LOREMU.
| Layer type | Activation function | Regularization |
|---|---|---|
| Dense, 512 neurons | Leaky ReLu (α = 0.05) | L1 (λ = 5 × 10−6) |
| Dense, 512 neurons | Leaky ReLu (α = 0.05) | L1 (λ = 5 × 10−8) |
| Dense, 512 neurons | Leaky ReLu (α = 0.05) | None |
| Dense, 1 neuron | Sigmoid | None |
| Optimizer | Loss function | Batch size |
| Adam (learning rate = 5 × 10−4) | Mean squared error | 32 |
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