title: Multiple losses for multi-output regression problem
body: <p>So I am trying to train a CNN model to predict 4 real-valued outputs (regression problem), I tried using a Mean Squared Error as a loss function, My question is if I branch the output layer into 4 different output layers with 4 different losses(4 MSE) does this make the network performs better regarding that the weights for the last layers are updated separately.
  Thank you </p>