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What is the default loss function used in the U-Net implementation in MATLAB for semantic segmentation tasks?

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Gobert 2023-3-17

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https://ww2.mathworks.cn/matlabcentral/answers/1930475-what-is-the-default-loss-function-used-in-the-u-net-implementation-in-matlab-for-semantic-segmentati

编辑： Gobert 2023-3-18

采纳的回答： Pratham Shah

Hi,

Can you please provide A DOCUMENT that explicitly confirms what the default loss function used in the U-Net implementation in MATLAB is for image semantic segmentation tasks? In other words, I need a document that confirms the default loss function used in the U-Net implementation in MATLAB for image semantic segmentation tasks.

Thank you!

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Pratham Shah 2023-3-17

If you are using the unetLayers function, default loss function will be "Cross-Entropy". You can check that on the documentation of pixelClassificationLayer.

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Pratham Shah 2023-3-18

You can check the formula on crossentropy. Hope this helps :)

Gobert 2023-3-18

编辑：Gobert 2023-3-18

If Loss function for training, specified as 'crossentropyex', stands for Cross Entropy Function for k Mutually Exclusive Classes ( https://se.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.classificationoutputlayer.html?searchHighlight=crossentropyex&s_tid=srchtitle_crossentropyex_3 ) the formula corresponding to 'crossentropyex'would be the following?

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Image Processing and Computer Vision Computer Vision Toolbox Recognition, Object Detection, and Semantic Segmentation Semantic Segmentation

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