Research Article
Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application
Table 2
Model configuration summary including hyperparameters.
| Parameter | Value/type |
| Epochs | 50 | Batch size | 32 | Optimizer | SGD with momentum 0.9 | Learning rates | Min , max | Loss function | Categorical cross entropy | Input shape | | Pooling | Max (convolutional layers), GlobalAverage (flatten layer) | Activation | ReLU (convolutional layers), Softmax (final dense layer) | Dropout rate | 0.15 | Trainable parameters | 409,146 |
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