Converting Neural Network Model file from Python to Matlab

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Dear all
We have developed a CNN model in Python and would like to convert the model to Matlab.
We have exported the Python model to a h5 format file.
However we hare having trouble about having Matlab to import this file.
So far we have used importkerasnetwork matlab function and get the following error:
Warning: File 'new_model_doceis.h5' was saved in Keras version '2.7.0'. Import of Keras versions newer than '2.2.4' is
not supported. The imported model may not exactly match the model saved in the Keras file.
Error using nnet.internal.cnn.keras.LayerTranslator/importWeights (line 223)
Assertion failed.
Error in nnet.internal.cnn.keras.LayerSpec.fromBaseLayer (line 32)
this.Weights = importWeights(this.Translator, this.Name, SubmodelName, WeightFile, H5Info);
Error in nnet.internal.cnn.keras.KerasLayerInsideModel/expandLayer (line 26)
LSpec = nnet.internal.cnn.keras.LayerSpec.fromBaseLayer(this, ImportWeights, SubmodelName,
HDF5Filename, H5Info);
Error in nnet.internal.cnn.keras.KerasModelConfig>@(L)expandLayer(L,ImportWeights,SubmodelName,HDF5Filename,H5Info)
(line 18)
[ExpandedLayerSpecs, ExpandedNameTables] = cellfun(@(L)expandLayer(L, ImportWeights, SubmodelName,
HDF5Filename, H5Info), ...
Error in nnet.internal.cnn.keras.KerasModelConfig/flattenLayer (line 18)
[ExpandedLayerSpecs, ExpandedNameTables] = cellfun(@(L)expandLayer(L, ImportWeights, SubmodelName,
HDF5Filename, H5Info), ...
Error in nnet.internal.cnn.keras.KerasSequentialModel/flatten (line 21)
[LayerSpecs, NameTable] = flattenLayer(this.Config, ImportWeights, '', HDF5Filename, H5Info);
Error in nnet.internal.cnn.keras.AssembledModel (line 38)
[this.LayerSpecs, this.InputLayerIndices, this.OutputTensors] = flatten(KM.Model, ImportWeights,
WeightFile, H5Info);
Error in nnet.internal.cnn.keras.importKerasNetwork (line 25)
AM = nnet.internal.cnn.keras.AssembledModel(KM, WeightFile);
Error in importKerasNetwork (line 91)Network = nnet.internal.cnn.keras.importKerasNetwork(modelfile, varargin{:});
Is there a way to solve this problem?
Thanks in advance

Answers (1)

David Willingham
David Willingham on 7 Dec 2021
The importer that had the most up to date functionality as it’s based on networks created in TensorFlow 2.0:
Was your networked created in Tensorflow 2.0?

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