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. 2022 Mar 9;16(3):729–738. doi: 10.1007/s12065-021-00679-7

Table 1.

The details of layers and parameters of the proposed model

# Layer Layer type Output shape # Parameters
1 DN [8, 256, 256] 216
2 MaxP [8, 128, 128] 0
3 DN [16, 128, 128] 1,152
4 DN [8, 130, 130] 128
5 DN [16, 130, 130] 1,152
6 MaxP [16, 65, 65] 0
7 DN [32, 65, 65] 4,608
8 DN [16, 67, 67] 512
9 DN [32, 67, 67] 4,608
10 MaxP [32, 33, 33] 0
11 DN [64, 33, 33] 18,432
12 DN [32, 35, 35] 2,048
13 DN [64, 35, 35] 18,432
14 MaxP [64, 17, 17] 0
15 DN [128, 17, 17] 73,728
16 DN [64, 19, 19] 8,192
17 DN [128, 19, 19] 73,728
18 MaxP [128, 9, 9] 0
19 DN [256, 9, 9] 294,912
20 DN [128, 11, 11] 32,768
21 DN [256, 11, 11] 294,912
22 DN [128, 13, 13] 32,768
23 DN [256, 13, 13] 294,912
24 Conv2d [3, 13] 6,912
25 Flatten [507] 0
26 Softmax [3] 1,524