What are some alternative optimizers for machine learning?

What are some alternative optimizers for machine learning?

There are several alternative optimizers you can use, such as Adam, RMSprop, and AdaGrad. Each has its own advantages.

Can you explain how Adam optimizer works?

Sure! Adam combines the advantages of two other extensions of stochastic gradient descent. It keeps an exponentially decaying average of past gradients and squared gradients.

What are the benefits of using RMSprop?

RMSprop is particularly effective for non-stationary objectives and works well in online and mini-batch settings. It adjusts the learning rate for each parameter.

Are there any downsides to using these optimizers?

Yes, while they can improve convergence speed, they may also lead to overfitting if not properly tuned. It's important to monitor performance.