Table 1 Summary of the parameters used for the PulmoNet model
From: PulmoNet: a novel deep learning based pulmonary diseases detection model
Hyperparameters | Value |
|---|---|
Input shape | (64, 64, 1) |
Number of Layers | 26 |
Loss Function | Categorical Cross_entropy |
Learning Rate | 0.001 |
Optimizer | Adam |
Activation Functions | ReLU, Softmax |
Performance Metrics | Accuracy, precision, recall and f1-score |