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. Author manuscript; available in PMC: 2021 May 10.
Published in final edited form as: Comput Biol Med. 2020 Jun 24;122:103882. doi: 10.1016/j.compbiomed.2020.103882

Table 2.

Parameters for CNN architectures 1 and 2

CNN architecture 1 CNN architecture 2
Layers Parameters Layers Parameters
Input 100×100 Input 100×100
Conv1 64×5×5,pad 0,stride 1 Conv1 64×5×5,pad 0,stride 1
Leaky ReLU alpha=0.01 Leaky ReLU alpha=0.01
Max Pool 1 3×3, stride 3, pad 0 Max Pool 1 3×3, stride 3, pad 0
Conv2 64×2×2,pad 0,stride 1 Conv2 64×2×2,pad 0,stride 1
Leaky ReLU alpha=0.01 Leaky ReLU alpha=0.01
Max Pool 2 3×3, stride 3, pad 0 Max Pool 2 3×3, stride 3, pad 0
Dropout 0.1 Dropout 0.1
FC 1+ReLU 128 FC 1+ReLU 128
FC 2+ReLU 8 LSTM 1 + ReLU 8
L2 regularizer 0.01 L2 regularizer 0.01
Dropout 0.25 Dropout 0.25
FC 3+Sigmoid 1 FC 3 + Sigmoid 1
Total parameters 841,681 Total parameters 845,033