It is possible to implement a LSTM neural network built with Keras Python in a Simulink block?

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Hello!
I have a LSTM neural network (for time series prediction) built in Python with Keras. So I have the model (structure and weights) in .h5 file.
It is possible to implement a LSTM neural network built with Keras Python in a Simulink block?
I would to create a simulink file that takes in input 2 signals and passing through the NN block , gives me as output the predicted signal.
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Answers (2)

Oskar Karnblad
Oskar Karnblad on 11 Jan 2018
I'm also interested in this. Have you found a solution yet?

Arkadiy Turevskiy
Arkadiy Turevskiy on 18 Oct 2021
You can do it in two steps:
  1. Import a model into MATLAB. See this function for TensrFlow 2 or this function to import from Keras.
  2. Once you have imported the model, use Stateful Predict block. This block became available in 21a.
HTH.
Arkadiy

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