[GitHub] kevinthesun commented on issue #8908: How to use an LSTM Layer in CNN?

[GitBox <gi...@apache.org>]

kevinthesun commented on issue #8908: How to use an LSTM Layer in CNN?
URL: https://github.com/apache/incubator-mxnet/issues/8908#issuecomment-348672171
 
 
   You can try Gluon API, which is more flexible for such kind of complicate network.
   A simple sketch example for your network:
   ```python
   class CNNLSTM(HybridBlock):
       def __init__(self, ...):
           self.cnn_block = ...
           self.lstm_block = mxnet.gluon.rnn.LSTM(...)
           self.fc_block = ...
   
       def hybrid_forward(F, x):
           y1 = self.cnn_block(x)
           y2 = self.lstm_block(y1)
           y3 = F.concat(y1, y2)
           z = self.fc_block(y3)
           return z
   ```

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