Solution: Non-Convex Optimization
Explore advanced gradient descent techniques for non-convex optimization problems. Learn to implement the Adam algorithm to escape local optima and adapt learning rates, enabling more effective optimization using NumPy.
We'll cover the following...
We'll cover the following...
Explanation
The objective function is given as follows:
where
The partial derivatives of the objective function with respect to