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. 2020 Jun 24;11:821. doi: 10.3389/fpls.2020.00821

TABLE 1.

The parameters of CNN structures.

Structures 1D terahertz absorption spectrums 1D near-infrared hyperspectral spectrums 2D terahertz absorption image 2D near-infrared hyperspectral image
F 128 128 64 128
F2 64 64 32 64
R1 0.01 0.01 0.05 0.05
R2 0.01 0.01 0.05 0.05
KS1 2 × 1 2 × 1 2 × 2 2 × 2
KS2 2 × 1 2 × 1 2 × 2 2 × 2
AP 2 × 1 2 × 1 2 × 2 2 × 2
D1 256 256 512 64
D2 3 3 3 3
T 200 200 120 120

F1 and F2 mean the number of filters in the first and second convolutional layer; R1 and R2 mean the L2 regularization number of the first and second convolutional later; KS1 and KS2 mean the size of filters in the first and second convolutional layer; AP means the size of filter in the average pooling layer; D1 and D2 mean the number of neurons in the first and second fully connected layer; T means the number of training epoch.