Incorporate Keras Network WITH LSTM Layer

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I have a compiled and trained networkmodel with an LSTM Layer, as .py or saved as .HDF5 using Keras with Tensorflowbackend. Is there a way to use it (give input, predict output) in Matlab? The importKerasLayer function seems not to work with LSTMs at all.

Answers (2)

Sivylla Paraskevopoulou
Sivylla Paraskevopoulou on 12 Feb 2021
What version are you using? Since R2018b, you can Import LSTM and BiLSTM layers from TensorFlow-Keras. For a list of support Keras layers see the documentation of importKerasNetwork and importKerasLayers functions. Also, note that importKerasNetwork or importKerasLayers support importing a TensorFlow-Keras network only in HDF5 or JSON format.

Phan Phat
Phan Phat on 28 Nov 2021
Could you tell more detail about how to import the LSTM model on MATLAB? I used importKerasNetwork; however, seem does not work. Thanks!
  1 Comment
David Willingham
David Willingham on 30 Nov 2021
Hi, I'd recommend using the importTensorFlowNetwork instead as it has more support for the layers that can be imported. Note: you'll need to update your Keras network to TensorFlow 2.0 in order to use this.

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