How to modify the fully connected layer for YOLO purposes?

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Greetings
I have two classes and I want to use the Squeezenet network for YOLOv3 purposes. However, the last three layers in the network ('pool10', 'prob', and 'ClassificationLayer_predictions') have an ouput of 1x1x1000. How can I change the network for my purpose?

回答(1 个)

Yash Sharma
Yash Sharma 2024-7-4
Hi Fahmi,
You can use MATLAB's removeLayers function in order to remove a layer from a neural network, then you can add your own custom layer with the given output size of 1x1x1000 using addLayers function.
Hope it helps!

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