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How can I merge (concatenate) feature maps from two different CNN layers in my architecture?

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I am looking for something like "merge" layer in Keras to implement U-Net. Thanks!
  2 commentaires
Ritesh Chandna
Ritesh Chandna le 12 Avr 2017
Unfortunately, we do not have a merge layer feature as of now. However, you can refer to the below link which list all the layer features we have:
https://www.mathworks.com/help/nnet/convolutional-neural-networks.html
Please feel free to provide more information about your workflow.
Moses Miller
Moses Miller le 1 Oct 2018
Hi, Any support for merging LSTM layers in R2018b? Thanks!

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Birju Patel
Birju Patel le 6 Mar 2018
Modifié(e) : Birju Patel le 6 Mar 2018
Hi,
In R2017b, the depth concatenation layer can be used to merge feature maps:
https://www.mathworks.com/help/nnet/ref/nnet.cnn.layer.depthconcatenationlayer.html
I've also attached an example function that can be used to create U-Net in R2017b (createUnet.m).
HTH, Birju
  1 commentaire
Itzik Ben Shabat
Itzik Ben Shabat le 3 Avr 2019
Does this also work for the new 3D layers in 2019a ?
If not, is there an alternative function ?

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Plus de réponses (1)

o.cefet cefet
o.cefet cefet le 12 Nov 2019
Has anyone ever gotten it on matlab Multiscale Features-Convolutional Neural Network?
Similar to work: https://ieeexplore.ieee.org/document/8625476/

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