How to classify multitasking and multi-label in MATLAB using deeplearning?

In the past alexnet, googlenet, etc. are multi-category single-label classification network.Recently, I just want to train a single network can be a picture of many aspects of the description, I do not know whether the current MATLAB can achieve such a problem?

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Dear, do you know this answer? I have the same question now 🥺
You should be looking for answers on your own, based on misinformation, rather than asking for solutions without thinking.

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 采纳的回答

Multi-label classification can be done by changing the loss function to "binary cross-entropy loss", as far as I can remember, using a statement like the following
loss = crossentropy(Y,T. TargetCategories="independent")

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