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Table 2 List of hyperparameters and their ranges for this work

From: A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images

HyperParameters

Ranges

Section Depth

[1, 4]

Momentum

[0.4, 0.98]

Dropout

[0.0, 0.046]

Activations

RELU, Clipped ReLU, Sigmoid

Learning Rate

[0.0021,0.96]

L2Regularization

[1\(\:{e}^{-6},1{e}^{-1}]\)