Machine Learning, Neuromation, Neuromation Platform.
basically the only optimization method we have for large neural networks is the simplest and most universal optimization approach: gradient descent. In gradient descent, we basically compute the derivatives of the objective function (the gradient is the vector consisting of all partial derivatives)