Table 15 Evaluation of dropout, batch normalization and learning rate for model3
From: Deep convolutional neural network based medical image classification for disease diagnosis
Model | Training image | Dropout1 | VGG16 |
|---|---|---|---|
Model3 with last unfrozen ConvLayer | 5323 | 0.7 | 0.885 |
Model3 | 5323 | 0.5 | 0.898 |
Model3 | 5323 | 0.7 | 0.906 |
Model3 | 20,000 | 0.7 | 0.922 |
Model3 | 30,000 | 0.7 | 0.922 |