loss weights for classifcation and regression heads in CNN











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I have a CNN with a classification head with 2 outputs which uses categorical cross entropy and a regression head with 2 outputs which uses mean-squared error for the losses.



The loss for the CNN is a linear combination of the losses for the classification head and the regression head:



cnn_loss = W_class * loss_classification + W_regression * loss_regression



Is there a good way to determine or commonly used values for W_class and W_regression?






classification regression conv-neural-network loss







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    up vote
    0
    down vote

    favorite












    I have a CNN with a classification head with 2 outputs which uses categorical cross entropy and a regression head with 2 outputs which uses mean-squared error for the losses.



    The loss for the CNN is a linear combination of the losses for the classification head and the regression head:



    cnn_loss = W_class * loss_classification + W_regression * loss_regression



    Is there a good way to determine or commonly used values for W_class and W_regression?






    classification regression conv-neural-network loss







    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have a CNN with a classification head with 2 outputs which uses categorical cross entropy and a regression head with 2 outputs which uses mean-squared error for the losses.



      The loss for the CNN is a linear combination of the losses for the classification head and the regression head:



      cnn_loss = W_class * loss_classification + W_regression * loss_regression



      Is there a good way to determine or commonly used values for W_class and W_regression?






      classification regression conv-neural-network loss







      share|improve this question













      I have a CNN with a classification head with 2 outputs which uses categorical cross entropy and a regression head with 2 outputs which uses mean-squared error for the losses.



      The loss for the CNN is a linear combination of the losses for the classification head and the regression head:



      cnn_loss = W_class * loss_classification + W_regression * loss_regression



      Is there a good way to determine or commonly used values for W_class and W_regression?






      classification regression conv-neural-network loss




      classification regression conv-neural-network loss






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 8 at 3:07









      user3731622

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