Table 2.
Fine-tuned model parameters.
| Base model | Model 1 | Model 2 | Model 3 | |
|---|---|---|---|---|
| Neuron units | 128 | 128 | 128 | 128 |
| Latent dimension | 64 | 64 | 64 | 256 |
| Activation function | Tanh/ReLU | Leaky ReLU | Leaky ReLU | Tanh/ReLU |
| Optimizer and learning rate | Adam (1e−5) | RMSprop (1e−5) | RMSprop (1e−4) | RMSprop (1e−4) |
| Regularizer | Dropout (0.2) | Dropout (0.01) | Dropout (0.5) | Dropout (0.5) |
| Generator units | 512 | 512 | 512 | 4092 |
| Discriminator units | 512 | 512 | 512 | 4092 |
| Batch size | 32 | 32 | 128 | 32 (512) |