How to transform fully connected layer into convolution layer?

2018 6 11
1 个回答
更新时间：2022 4 27
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I want to replace a fully connected layer with a convolution layer, but I don't know how to complete it. I reference help document, and find a function named "transposedConv2dLayer", but I don't believe "cropping" is helpful. So if somebody could give me any suggest, thanks a lot.

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Shounak Mitra
Shounak Mitra 2018-6-21
编辑：Matt J 2022-4-27

0 个投票

Hello QU,
Can you please tell me if you're using a Series or DAG network? The steps to replace a layer is different for these 2 network types.
For a Series Network, follow steps here -->
https://www.mathworks.com/help/nnet/examples/transfer-learning-using-alexnet.html#d119e3782
For DAG follow this -->
https://www.mathworks.com/help/nnet/ref/nnet.cnn.layergraph.html?s_tid=doc_ta#d119e84822
Also, is the motivation behind replacing the FC layer with a conv2d is to make the network deeper?

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Matt J
Matt J 2022-4-27
编辑：Matt J 2022-4-27
The link for the Series Network does not seem applicable. The fully connected layer in that example is replaced by another fully connected layer, not a conv2d layer. Moreover, the new layer is not equivalent to the old one.

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QU HAIFENG
QU HAIFENG
2018-6-11

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Matt J
Matt J
2022-4-27

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