Connect fully connected layer to a convolution layer?
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When building a CNN network for image reconstruction with fully connected layer followed by convolution layers, I found that the output of fully connected layer is always a vector. If I want fully connected layer to be followed by a 2D convolution layer, is there any intermediate layer to reshape the data transferred in between two layers, either on output of fully connected layer or input of convolution layers?
Thanks.
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Uttiya Ghosh
2020-6-18
0 个投票
Hi Kittel,
From my understanding, you want to introduce a reshape layer between your fully connected layer and 2D convolution layer. There is no reshape layer in MATLAB. As a workaround you can always create a custom layer.
For more information, refer to the following links.
1 个评论
Ben Hinkle
2025-11-6
There is now a reshape layer in MATLAB (since R2025a): https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.reshapelayer.html
The syntax to reshape from fully connected to 2D convolution is
reshapeLayer([h w c], OperationDimension="spatial-channel")
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