I got a recurrent neural network in Keras, which classifies on 14 labels. The first label is the most important one and should be predicted with the highest accuracy. The other labels don't have to be very accurate, they should just help the network to generalize better.
I thought of using the "Mean absolute error" for the first and the "mean squared error" for the other labels.
How can I integrate this in Keras?