solving quadratic equations using machine learning? I am attempting to solve quadratic equations using machine learning. I tried to write code using mxnet but fails because it is using linear regression while my problem is non-linear (as far as I know).

It is possible to predict the solution for arbitrary equations provided the at least one real root exists?
It is possible to predict the solution for arbitrary equations provided the at least one real root exists?


Yes. 

You‘ll just need a sufficiently large training dataset and network that is flexible enough (start with one hidden layer). 

You’re right your problem is not linear, thus you’ll need non-linear activation function.