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. 2023 Nov 6;11:1308404. doi: 10.3389/fpubh.2023.1308404

Table 2.

Hyper-parameters of the proposed CIDICXR-Net50 model.

Hyper-parameters Values
Optimizers Adam
Learning rate 0.0001
EarlyStopping patience = 10
Batch Size 32
Epochs 25
Callbacks EarlyStop, ModelCheckPoint
Loss Sparse Categorical Cross Entropy
Metrics Accuracy