Comment by mrv_asura

I learnt about KL Divergence recently and it was pretty cool to know that cross-entropy loss originated from KL Divergence. But could someone give me the cases where it is preferred to use Mean-squared Error loss vs Cross-entropy loss? Is there any merits or demerits of using either?