Optimizer, Gradient Descent, Machine Learning, Adam, Sgd.
the loss function using the derivative of the loss function with respect to weights. Non-Convex Curve This is a non-convex curve, now, here if we use gradient descent from any point (x,y) on the curve, we are not sure to reach the global minimum. We may get stuck at the local minima. For example,