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. 2022 Aug 3;9(8):220374. doi: 10.1098/rsos.220374

Table 4.

Network architecture.

layer type parameters
1 ConvLSTM k = (n × 2 × 3), f = 16, s = 1
2 ConvLSTM k = (16 × 1 × 3), f = 32, s = (1 × 2)
3 ConvLSTM k = (32 × 1 × 3), f = 64, s = (1 × 2)
4 FC m = 256, sigmoid
5 FC m = 2, sigmoid

k, kernel dimensions; n, input channel dimensions; f, number of filters; s, stride; FC, fully connected layer; m, number of neurons.