Table 6 Input parameters used for EfficientNet-b4 model training.
From: Automatic smart brain tumor classification and prediction system using deep learning
S.No | Parameter | Value |
---|---|---|
1 | Image size | 224 |
2 | Batch size | 32 |
3 | Random seed | 42 |
4 | Number of Epochs | 15 |
5 | Training Samples | 80% |
6 | Validation Sample | 20% |
7 | Test Images | 1000 |
8 | Learning Rate | 0.001 |