Load pretrained keras network using deep learning toolbox
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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{:});
回答 (1 件)
Yongjian Feng
2021 年 8 月 11 日
0 投票
Not sure if they are compatible. Why not loading it from python code? Call python from matlab.
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