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. 2021 Mar 3;21(5):1734. doi: 10.3390/s21051734

Table 6.

Summary of our model.

Participants Morning Afternoon Evening
Layer Num Type Output Shape Parameters
Layer 1 Batch Normalization (None, 256, 2) 1024
Layer 2 Conv 1D (None, 256, 512) 33,280
Layer 3 Conv 1D (None, 256, 512) 8,389,120
Layer 4 Batch Normalization (None, 256, 512) 2048
Layer 5 Dropout (None, 256, 512) 0
Layer 6 Conv 1DN (None, 256, 256) 4,194,560
Layer 7 Batch Normalization (None, 256, 256) 1024
Layer 8 Dropout (None, 256, 256) 0
Layer 9 Batch Normalization (None, 256, 256) 1024
Layer 10 Conv 1D (None, 256, 256) 2,097,408
Layer 11 Batch Normalization (None, 256, 256) 1024
Layer 12 Maxpool 1D (None, 2, 256) 0
Layer 13 Dropout (None, 2, 256) 0
Layer 14 Flatten (None, 512) 0
Layer 15 Dense (None, 128) 65,664
Layer 16 Batch Normalization (None,128) 512
Layer 17 Dropout (None, 128) 0
Layer 18 Batch Normalization (None, 128) 512
Layer 19 Dense (None, 1) 129