Research Article
Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
Table 2
Hyperparameters used to train CovidPred models.
(a) Original images/single augmentation-based models (for 26 models) |
| Sr. No. | Hyperparameter | Value |
| 1 | Number of iterations | 400 | 2 | Batch size | 16 | 3 | Number of epochs | 24 | 4 | Image size | 256 | 5 | Internal validation size | 0.1 | 6 | Filter size (1st convolutional layer) | 3 | 7 | Number of filters (1st convolutional layer) | 32 | 8 | Filter size (2nd convolutional layer) | 5 | 9 | Number of filters (2nd convolutional layer) | 64 | 10 | Filter size (3rd convolutional layer) | 7 | 11 | Number of filters (3rd convolutional layer) | 128 | 12 | Fully connected layer size | 256 |
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(b) Original and all augmentation-based models (for combined image-based models) |
| Sr. No. | Hyperparameter | Value |
| 1 | Number of iterations | 5568/11136/23300 | 2 | Batch size | 32 | 3 | Number of epochs | 24/49/101 | 4 | Other hyperparameters | Same as given in (a) |
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