How to manually change pre-trained CNN's (AlexNet) weights?

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Yuan Du 2017-8-10

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https://ww2.mathworks.cn/matlabcentral/answers/352336-how-to-manually-change-pre-trained-cnn-s-alexnet-weights

回答： DL 2021-3-29

To whom can help:

I am using MATLAB r2017a. I am trying to change the weights of a pre-trained CNN, like alexnet, using the following codes. Unfortunately, I got the following errors. Are there any suggestions to by-pass this read-only constrain?

Thanks a lot! Jason

" You cannot set the read-only property 'Layers' of SeriesNetwork"

    % code
    >> net=alexnet
    >> net.Layers(2,1).Weights=net.Layers(2,1).Weights*10;

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Answer 1

J 2018-4-16

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https://ww2.mathworks.cn/matlabcentral/answers/352336-how-to-manually-change-pre-trained-cnn-s-alexnet-weights#answer_315433

Bump! I have a hard time believing that one cannot take an existing SeriesNetwork, and either:

1. Modify properties of it, or...

2. ... create a new SeriesNetwork that is a copy of the existing one, but has different values for certain properties

Also, I would image there is a way to take an existing SeriesNetwork, then addLayers/removeLayers/connectLayers and convert back to a SeriesNetwork, rather than being stuck with the DAGNetwork that is generated (if it really is naturally represented as SeriesNetwork)? Or if not, that there is some workaround?

I mean, it makes NO SENSE that if, for example, I have a SeriesNetwork with a dropoutLayer at default 0.5 that I can't just modify that to 0.25 or 0.6 or whatever I want and then re-train without having to convert to a DAGNetwork and then be stuck with a DAGNetwork (certain functions will only operate on SeriesNetwork--take for example, deepDreamImage).