How does adaptive learning rate work?

Can you explain how adaptive learning rates work in machine learning?

Sure! Adaptive learning rates adjust the learning rate during training, allowing the model to learn more effectively.

What are some common algorithms that use adaptive learning rates?

Some popular algorithms include AdaGrad, RMSprop, and Adam. Each has its own way of adjusting the learning rate.

How do these algorithms differ from each other?

AdaGrad adapts the learning rate based on past gradients, RMSprop uses a moving average of squared gradients, and Adam combines both.

When should I use an adaptive learning rate?

Adaptive learning rates are beneficial when training deep neural networks, especially with complex datasets.