(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 |