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. Author manuscript; available in PMC: 2023 Feb 1.
Published in final edited form as: IEEE Trans Knowl Data Eng. 2020 Apr 22;34(2):531–543. doi: 10.1109/tkde.2020.2989405

TABLE 5:

The architecture of rich model in PTBDB, which includes a total of 688.8k parameters.

Layer Type Hyper-parameters Activation
1 Split n_seg=10
2 Convolution1D n_filter=128, kernel_size=16, stride=2 ReLU
3 Convolution1D n_filter=128, kernel_size=16, stride=2 ReLU
4 Convolution1D n_filter=128, kernel_size=16, stride=2 ReLU
5 AveragePooling1D
6 LSTM hidden_units=128 ReLU
7 PositionAttention
8 Dense hidden_units=n_classes Linear
9 Softmax