What are activation functions in ReLU?

The ReLU activation function is used in neural networks to introduce non-linearity. It returns the input value if it’s positive, and zero for negative values. ReLU helps with training deep networks, avoids the vanishing gradient problem, and allows for faster convergence. It is a popular choice due to its simplicity and effectiveness in learning complex patterns.