AI Activation Function: An Overview | LearnC++

An AI activation function is a mathematical function in artificial neural networks that determines the output of a neuron. It introduces non-linearity, enabling networks to learn complex patterns. Common types include ReLU (Rectified Linear Unit), sigmoid, tanh, and softmax, each suited for tasks like regression, classification, or multi-class outputs. For more information, visit the Learn CPlusPlus blog.