Load pretrained keras network using deep learning toolbox

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nor kadosh
nor kadosh on 10 Aug 2021
Answered: Yongjian Feng on 11 Aug 2021
Hi,
I'm trying to load pre-trained neural networks by using a deep learning toolbox.
I saved my python model in numbers ways such as:
  • model.save("model")
  • model.save("model.h5")
  • model.save_weights("model.h5")
  • etc.
But none of them working when trying to load them into MATLAB workspace.
Input:
model = importKerasLayers("model.h5")
Error:
Error using nnet.internal.cnn.keras.ParsedKerasModel (line 26)
Assertion failed.
Error using nnet.internal.cnn.keras.ParsedKerasLayers (line 14)
KM = nnet.internal.cnn.keras.ParsedKerasModel(ModelConfig, Training);
Error in importKerasLayers (line 102)
Layers = nnet.internal.cnn.keras.ParsedKerasLayers(modefilie, varargin{:});

Answers (1)

Yongjian Feng
Yongjian Feng on 11 Aug 2021
Not sure if they are compatible. Why not loading it from python code? Call python from matlab.

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