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PassionatePossum t1_irvbp94 wrote

If you are using CNNs, it is actually very straightforward to solve: You need different loss functions for every independent attribute. And the optimization objective is to minimize the (weighted) sum of these loss functions.

  1. Add a separate output layer for every independent attribute and a separate loss function to every output layer.
  2. During training, set target values for the unneeded layers to an arbitrary value and set the loss weights to zero.
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AKavun OP t1_irvbvrj wrote

As I said, I am a beginner to this stuff. Even though I am familiar with every term in that sentence, can you maybe share some articles or videos that are doing or explaining something similar to what you have in mind so that I can understand you better?

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