Research Article
LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites
Table 1
Number of parameters and shape of output in the LSTMCNNsucc.
| | Layers | Parameters | Output |
| | Embedding | 1472 | (None, 31, 64) | | Bidirectional LSTM | 197632 | (None, 31, 256) | | Dropout | 0 | (None, 31, 256) | | Flatten | 0 | (None, 7936) | | 1D convolution | 10272 | (None, 27, 32) | | Pooling | 0 | (None, 32) | | Dense (16) | 127504 | (None, 16) | | Dense (1) | 17 | (None, 1) |
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