Question 6
The Momentum optimizer helps overcome which limitation of vanilla Gradient Descent?
Slow convergence near the minimum due to large learning rate.
Zig-zag oscillations in narrow valleys due to gradient directions changing frequently.
Vanishing gradients caused by activation functions.
Overfitting due to excessive updates.