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.
2 Commenti
Szabolcs Mike
il 6 Mag 2019
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!
Risposte (2)
Oskar Karnblad
il 11 Gen 2018
I'm also interested in this. Have you found a solution yet?
1 Commento
Arkadiy Turevskiy
il 18 Ott 2021
You can do it in two steps:
- Import a model into MATLAB. See this function for TensrFlow 2 or this function to import from Keras.
- Once you have imported the model, use Stateful Predict block. This block became available in 21a.
HTH.
Arkadiy
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