What are some alternative activation functions in neural networks?

What are some alternative activation functions in neural networks?

Some popular alternative activation functions include ReLU, Leaky ReLU, ELU, and Swish. Would you like to know more about any specific one?

Can you explain the Leaky ReLU function?

Leaky ReLU allows a small, non-zero gradient when the input is negative, which helps prevent the dying ReLU problem.

What are the advantages of using ELU over ReLU?

ELU can produce negative outputs, which helps to push mean activations closer to zero, improving learning speed and performance.

Are there any drawbacks to using Swish?

Swish can be computationally more expensive than ReLU due to its non-linear nature, but it often leads to better performance.