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Import Keras Tensorflow Model into Simulink

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I've got a trained model from Python, which I need to run on Simulink for my application.
Is it possible to import trained Tensorflow Keras models and implement them in Simulink?
Cheers,
Lucas

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sruthi gundeti
sruthi gundeti 2020 年 9 月 12 日
Hi,
You can import your keras network using
net = importKerasNetwork(modelfile)
net = importKerasNetwork(modelfile,Name,Value)
model file can .h5 format ot json format with weights
Then write a entry level function for the imported network
function out = resnetFun(in)
persistent mynet;
if isempty(mynet)
mynet = coder.loadDeepLearningNetwork('resnet50', 'myresnet');
end
out = predict(mynet,in);
You can integrate MATLAB function into your Simulink model using the MATLAB Function Block.
You can execute your MATLAB code from within the model to read the input data from your sensor and then pass this data into your Simulink block.
Refer to this example on how to use a MATLAB function block in your model.

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Lucas Ferreira-Correia
Lucas Ferreira-Correia 2020 年 9 月 30 日
Thank you for your help! I've imported my regression model and accordingly a placeholder layer is inserted on top of the model. I need a sequence input layer to replace the placeholder, is that possible? From the documentation I only see an image input layer available.

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