Hi,

Should I use different loss functions for things like object counting using linear regression compared to let’s say imagenet object categorization or approximating some random mathematical functions using linear regression?

Or is MSE just good enough for everything?

If not, what are the benefits, and which loss functions should I use in which situations?

Thanks in advance for all you helpful people!