Table 4 Hyper parameter tuning for proposed MLP model.
From: Detection and classification of brain tumor using a hybrid learning model in CT scan images
Options | Proposed parameter |
|---|---|
Epochs | 100 |
Optimizer | Adam |
Learning rate | 0.0001 |
Batch size | 32 |
Dropout | 0.3 |
5 Dense layers | 1024,512,256,64,4 |
Activation function | Relu |
4 Batch Normalization | - |
Last activation function | Softmax |
Function of loss | categorical_crossentropy |
Patience level | 5 |
