Examples of activation functions are ReLU, sigmoid, or tanh functions and they can transform the weighted sum of inputs into an artificial neural network.

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...