import a Keras pre-trained network into Matlab
2 views (last 30 days)
Show older comments
I'm having issues to import a pre-trained network I've trained in Python into Matlab.
- I used the function of: importKerasLayers ('ImportWeights',true) to import architecture & Weights
- I have 6 PlaceHolderLayers which are not supported by matlab - in 5 of them I can use transposedConv2dLayer custom layer to replace them
However, I'm not sure how do I import the Weights of those layers into my custom ones. I need them in order to use "assembleNetwork" function that will switch the imported network to a SeriesNetwork object that will be ready to use for prediction.
I followed this flow of work:
0 Comments
Answers (2)
Sivylla Paraskevopoulou
on 9 May 2022
Use the importTensorFlowNetwork function. importTensorFlowNetwork tries to generate a custom layer when you import a custom TensorFlow layer or when the software cannot convert a TensorFlow layer into an equivalent built-in MATLAB layer.
Note that you must first convert your TensorFlow model to the SavedModel format.
0 Comments
Asvin Kumar
on 26 May 2020
placeholderLayers = findPlaceholderLayers(lgraph);
placeholderLayers(i).Weights
On the other hand, you could explore other parameters involved by checking the data members of the placeholderLayers.KerasConfiguration structure as in this example.
0 Comments
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!