Are there any convolutional networks in the DL Toolbox whose output layers are implemented as fullyConnectedLayers?

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Matt J 2022-4-20

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编辑： Matt J 2022-5-3

Within the library of neural networks offered through the Deep Learning Toolbox, are there any convolutional neural netwoks that contain fully connected layers? If, as an exercise, I wished to convert the fully connected layers to convolutional layers (so as to convert the network to an FCN), is the procedure for doing so straightforward?

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Matt J 2022-5-3

cf. also

https://www.mathworks.com/matlabcentral/answers/880863-convnets-and-sliding-windows?s_tid=srchtitle

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David Willingham 2022-5-3

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Hi Matt,

In this doc page, it shows an example of a network that has both convolutional layers and full connected layers:

https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.fullyconnectedlayer.html

Can you clarify a little more on why you want to convert fully connected layers to convolutional layers?

David

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Matt J 2022-5-3

编辑：Matt J 2022-5-3

Also, regarding the doc page you referenced, I know that it is possible to construct a CNN wih fully connected layers, but my question is about the stock networks that I see when I open deepnetworkDesigner. In the deepnetworkDesigner library, there don't seem to be any CNNs with fully convolutional layers. I'm wondering if that is coincidence.

David Willingham 2022-5-3