the function value (optimization criterion) the gradient vector (first-order partial derivatives) for some techniques, the (approximate) Hessian matrix (second-order partial derivatives) However, ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

The Rosenbrock function, also referred to as the Valley or Banana function, is a popular test problem for gradient-based optimization algorithms. It is shown in the plot above in its two-dimensional ...