# Tag Info

## Hot answers tagged loss-functions

1

Mean Square Error (MSE) is a quadratic function and the further you go away from your optimum the bigger (quadratic) the MSE gets. Take $o_{expected}=20$ and $o_{net}=40$ as example. Your MSE is then 400, because $MSE = (o_{expected}-o_{net})^2$. Just imagine $y = x^2$ with x being the output of your network. If you want to shift the parabola with optimum at ...

Only top voted, non community-wiki answers of a minimum length are eligible