Table 1 Training parameters of the proposed improved ResNet model
From: An early detection and segmentation of Brain Tumor using Deep Neural Network
Phase /steps | Hyperparameter | Parameters value |
|---|---|---|
Initialisation step | Bias | 0.1 |
Weights | Xavier | |
ReLU | (α) | 0.333 |
Drop out block | LGG | 0.111 |
HGG | 0.555 | |
Training step | Number of Epochs for LGG and HGG | 50 |
Batch size | 128 | |
Initial € value | 0.004 | |
Final € value | 0.00004 | |
Post Processing stage | Batch Size | 128 |
Tvol-HGG value | 10,000 | |
Tvol-HGG value | 3,000 |