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. 2020 Sep 21;51(3):1351–1366. doi: 10.1007/s10489-020-01904-z

Table 2.

Architecture of proposed CNN

Layer Type Filter size No .of filters stride
Input 224x224x3
Conv_1 CL + BN + ReLu 3 × 3 64 1 × 1
MPL_1 2 × 2 2 × 2
Conv_2 CL + BN + ReLu 3 × 3 64 1 × 1
MPL_2 2 × 2 2 × 2
Conv_3 CL + BN + ReLu 3 × 3 32 1 × 1
MPL_3 2 × 2 2 × 2
Conv_4 CL + BN + ReLu 3 × 3 16 1 × 1
MPL_5 2 × 2 2 × 2
Conv_5 CL + BN + ReLu 3 × 3 8 1 × 1
Fully connected Output size =3
Output Classification layer Soft-max

BN Batch Normalization Layer