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CNN error using deep network designer

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Teo 2021 年 9 月 21 日
編集済み: Teo 2021 年 10 月 2 日 13:57
i trying to combine certain part of the two CNN into one model using addition layer. However, there seem to be error while analyzing the combined models using deep network designer.
Thank you.


Katja Mogalle
Katja Mogalle 2021 年 9 月 22 日
Hi Teo,
As you already noticed, the shufflenet branch results in 544 channels and the resnet18 branch results in 512 channels. You could map one of those branches (e.g. shufflenet branch) to the number of filters of the other branch (e.g. resnet18) by using a convolution2dLayer with filter size [1 1] and 512 filters. Then you should be able to do the addition.
I don't know the details of what you're doing and what the two branches are supposed to do, but I wonder if a concatenationLayer would be the better choice here to combine the two branches.
I hope this helps.
  3 件のコメント
Teo 2021 年 9 月 23 日 16:01
I really appreciate your suggestion and clarification on the confusion. Thank you very much.


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