Error using importKerasLayers() for Squeezenet using ".json" file.

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BHUSHAN MUTHIYAN 2017-10-26

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评论： Marco Francini 2017-11-30

Hello,

I am trying to use the new Neural Network Toolbox function named "importKerasLayers" to import Squeezenet model. But it gives me below error:

*Error using importKerasLayers

Invalid layer name 'fire2/squeeze1x1'. Layer names must not contain the character '/'.*

Please, let me know about it.

I have also tried importing ".h5" file for Squeezenet. But it gives me below error:

*Error using importKerasLayers

Unable to import layers from file 'squeezenet_weights.h5' because it contains no 'model_config' attribute.*

Can you provide a ".json" or ".h5" file for Squeezenet which supports MATLAB.

Looking forward to solve this problem as soon as possible.

Thank you.

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Answer 1

Mickaël Tits 2017-11-14

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Hi,

I had the same problem, so I modified a python script to change layer names (tu use "_" instead of "/"). You can find the corrected model here : https://github.com/titsitits/Squeezenet-Matlab-Keras You can use this line of code to import it :

squeezenet = importKerasNetwork('squeezenet.json','WeightFile','squeezenet.h5','OutputLayerType','classification');

Best regards, Mickaël Tits

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Mickaël Tits 2017-11-19

Hello,

It is actually the version v1.1, which apparently has similar results than v1.0, with much less computations: https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1

I don't have the v1.0 version unfortunately. If you really need the version 1.0, you can try to modify the python script and use the weights of the v1.0.

Regards, Mickaël Tits

Marco Francini 2017-11-30