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I noticed that one of the mxnet APIs (Gluon) includes a 3D Deconvolutional Layer. However, mathematica currently only allows up to 2D deconvolutional layers (see here). Can one somehow implement a 3D Deconvolutional layer directly from mxnet (for example with the NeuralNetworks'MXLayer function)?

EDIT: Is it possible to implement n-dimensional convolutional layers in a similar way?

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I found the following solution using convolutional layers and reshape layers on the community page:

https://community.wolfram.com/groups/-/m/t/1344787

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