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. 2022 May 24;13:876721. doi: 10.3389/fgene.2022.876721

TABLE 2.

Hyperparameters of the proposed 1D-CNN architecture.

Layer Hyperparameter
Conv 1D kernel size = 57, stride = 1
Max-Pooling pool size = 2
Dropout p = 0.3
Conv 1D kernel size = 57, stride = 1
Max-Pooling pool size = 2
Dropout p = 0.3
Conv 1D kernel size = 57, stride = 1
Max-Pooling pool size = 2
Dropout p = 0.3
Flatten -
Dense 256
Dropout p = 0.5
Dense 256
Dropout p = 0.5
Softmax 2