Machine Learning, Neural Networks, Optimization, Mathematics.
following landscape of a non-linear optimization problem: Because gradient descent works on local information, there’s a certain number of steps it needs to take until it can even “see” the minimum. Non-linearity can be characterized by interactions between components of the objective function, and