How can I improve gradient descent in my machine learning model?

How can I improve gradient descent in my machine learning model?

You can improve gradient descent by using techniques like learning rate scheduling, momentum, or adaptive learning rates.

What is learning rate scheduling?

Learning rate scheduling involves adjusting the learning rate during training to improve convergence and performance.

Can you explain momentum in gradient descent?

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

What are adaptive learning rates?

Adaptive learning rates adjust the learning rate based on the parameters' updates, allowing for faster convergence.