Table 2 Different training options and its related parameters.
From: Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
Training options | Reflections/implications |
---|---|
Sizes of Image | 227*227*3 |
Total Number of Epochs | 04 |
Iterations per Epoch | 283 |
Total No of Iterations | 50 |
Initial Learning Rate | 0.0001 |
Momentum Rate | 0.9 |
Type of Solver | SGDM |
Environment For Execution | Auto |
Size of Minibatch | 64 |
Shuffle | every-epoch |
Validation Frequency | 1 |