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. 2021 Apr 18;21(8):2846. doi: 10.3390/s21082846

Table 4.

Model architecture for DCNN–GRU.

Layer (Type) Output Shape Parameters
time_dist (dilated_cnn_model) (None, 15, 4, 4, 768) 1,15,22,112
time_dist (Flatten()) (None, 15, 12,288) 0
gru_1 (GRU) (None, 180) 67,33,260
dense_1 (Dense) (None, 512) 92,672
dense_2 (Dense) (None, 128) 65,664
dense_3 (Dense) (None, 64) 8256
dense_4 (Dense) (None, 10) 650