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Table 1 The main structures and parameters of DeepACLSTM

From: DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction

Layer Type

Size

NP

embedding

21

441

Convolution1D

1 × 42

1806

Convolution2D

3 × 1

168

Dropout1

0.5

0

FC 1

400

706,000

\({LSTM}_f^1\)

300

841,200

\({LSTM}_b^1\)

300

841,200

\({LSTM}_f^2\)

300

721,200

\({LSTM}_b^2\)

300

721,200

Dropout2

0.4

0

FC 2

600

600,600

Softmax

8

4808