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. 2019 Oct 25;17:1245–1254. doi: 10.1016/j.csbj.2019.09.005

Table 2.

Summary of GRU architecture in this study.

Layer Weights Parameters
Conv1d (20, 250, 3) ((250, 20, 3), (250,)) 15,250
AvgPool1d (3) 0 0
Conv1d (250, 250, 3) ((250, 250, 3), (250,)) 187,750
AvgPool1d (3) 0 0
GRU (250, 150, 1) ((750, 150), (750, 150), (750,), (750,)) 226,500
Linear (150, 32) ((32, 150), (32,)) 4832
Dropout (0.01) 0 0
Linear (32, 1) ((1, 32), (1,)) 33
Sigmoid () 0 0