Machine Learning, Scientific Method, Numerical Methods, Numerical Analysis, Neural Networks.
directly to extract the gradients. Note in this case, we only have one set of observations and the inverse problem may be ill-posed, i.e., the solution is not unique. Thus the best we can expect is that we can find one of the solutions N(x;w) that can reproduce the observation we have. This is