What are some other optimizers used in machine learning?

What are some other optimizers used in machine learning?

In addition to the popular Adam optimizer, there are several others like RMSprop, Adagrad, and SGD.

Can you explain how RMSprop works?

RMSprop adjusts the learning rate for each parameter based on the average of recent gradients, helping to stabilize updates.

What are the advantages of using Adagrad?

Adagrad adapts the learning rate for each parameter, allowing for larger updates for infrequent features and smaller updates for frequent ones.

Are there any optimizers that are better for deep learning?

Yes, optimizers like Adam and Nadam are often preferred for deep learning due to their adaptive learning rates and momentum.