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

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.

[Szabolcs Mike]

Same question here too! I would like to use a LSTM prediction model trained with keras in Simulink. I can import the model to Matlab workspace, but not able to use it in a Matlab function block in Simulink!

[Varoun Sitram]

I'm having this same problem. Have you found a solution?

Answer 1

[Oskar Karnblad]

I'm also interested in this. Have you found a solution yet?

[ARUN]

anyone found answer for this? I am facing the same problem now

Answer 2

[Arkadiy Turevskiy]

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