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. 2022 Feb 16;22(4):1521. doi: 10.3390/s22041521

Table 2.

FDC-1 Model Hyper-parameters.

Layer (Type) Output Shape Param #
Conv2D (None, 124, 124, 24) 624
MaxPooling2D (None, 31, 62, 24) 0
Activation (None, 31, 62, 24) 0
Conv2D (None, 27, 58, 48) 28,848
MaxPooling2D (None, 6, 29, 48) 0
Activation (None, 6, 29, 48) 0
Conv2D (None, 2, 25, 48) 57,648
Activation (None, 2, 25, 48) 0
Flatten (None, 2400) 0
DropOut (None, 2400) 0
Dense (None, 64) 153,664
Activation (None, 64) 0
DropOut (None, 64) 0
Dense (None, 6) 650
Activation (None, 6) 0
Total Parameters: 241,174
Trainable Parameters: 241,174
Non-Trainable Parameters: 0