The conversation between human and AI assistant.
What is the sigmoid function, and what is its use in machine learning's neural networks?
Can the sigmoid function be replaced by other activation functions?
Yes, the sigmoid function has some limitations, such as the vanishing gradient problem, and so other activation functions such as ReLU have become more popular in recent years. However, the sigmoid function is still useful in certain situations, such as in output layers for binary classification.