What is advanced gradient descent and how does it work?

What is advanced gradient descent and how does it work?

Advanced gradient descent is an optimization algorithm used to minimize a function by iteratively moving towards the steepest descent.

What are the advantages of using advanced gradient descent over standard gradient descent?

It often converges faster and can escape local minima more effectively due to techniques like momentum and adaptive learning rates.

Can you explain the concept of momentum in gradient descent?

Momentum helps accelerate gradient descent by adding a fraction of the previous update to the current update, smoothing out the path.

What are some common applications of advanced gradient descent?

It's widely used in training deep learning models, optimizing complex functions, and in various machine learning algorithms.