What are the best optimizers for deep learning?

What are the best optimizers for deep learning?

Some of the best optimizers for deep learning include Adam, RMSprop, and SGD. Each has its own advantages.

Can you explain the differences between Adam and SGD?

Sure! Adam adapts the learning rate for each parameter, making it efficient for large datasets, while SGD uses a fixed learning rate.

When should I use RMSprop?

RMSprop is great for non-stationary objectives and works well in recurrent neural networks.

Are there any optimizers that work better for specific types of neural networks?

Yes, for example, Adam is often preferred for CNNs, while LSTM networks may benefit from using RMSprop.