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Table 1 The parameters of four layers in the CNN module

From: TEC-miTarget: enhancing microRNA target prediction based on deep learning of ribonucleic acid sequences

 

in_channels

out_channels

kernel_size

Stride

Padding

Activation function

layer 1

\(2{d}_{1}\)

\({d}_{1}\)

\(ks\)

1

\(ks//2\)

\(ReLU(x)\)

layer 2

\({d}_{1}\)

\({d}_{1}/2\)

\(ks\)

1

\(ks//2\)

\(ReLU(x)\)

layer 3

\({d}_{1}/2\)

\({d}_{1}/4\)

\(ks\)

1

\(ks//2\)

\(ReLU(x)\)

layer 4

\({d}_{1}/4\)

1

\(ks\)

1

\(ks//2\)

\(\sigma \left(x\right)=\frac{1}{1+{e}^{-x}}\)