Combining multi-task learning with multiclass classification

Course Q&A Deep Learning Specialization Structuring Machine Learning Projects
1

Is it possible to combine both of them or this type of learning is mutually exclusive to binary classification?

Let’s say I want my model to learn from a video and get 3 outputs but one of these outputs has 4 classes for classification.

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Hi, @Lujain_Andijani !

Sure! You can always combine the backbone you want to a multi-head output and tweak each of those heads to be however you want (one-hot encoding or another type for classification)

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Thank you so much! I find this advice to be very helpful, instead of making 8 models for the whole project that’d be shortened to 3 for the project I’m working on.

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I hope this helps. Beware that multi-output training is not trivial and you may have to deal with many different settings that are not that important in normal one-headed networks. Check this paper if you want

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