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. 2022 Apr 25;10:885212. doi: 10.3389/fpubh.2022.885212

Table 3.

Setting of hyperparameters used during experiment.

Hyper parameters Value
Model Multichannel-Dense Net
No. of channel 04
Model initial learning rate 0.1
Image size 320 × 320 × 3
Batch size 04
Target labels Ground Truth
Data augmentation Not used
Loss function Categorical cross-entropy
Optimization algorithm Stochastic gradient decent
Validation parameter Classification accuracy