[D] Generic (and fundamental) optimization problems / challenges for machine learning • r/MachineLearning

Just wondering if there are some typical optimization problems or specific challenges that are fundamental to machine learning, i.e. something many or most frameworks should be capable of solving? For example, I'd like to try optimizing the coefficients of an ANN, and would love to have some basic, fundamental input/output problems to solve.