AI Activation Function: An Overview | LearnC++
An AI activation function is a mathematical function used in artificial neural networks to introduce non-linearity, enabling the model to learn complex patterns. It determines whether a neuron should be activated based on its input. Common activation functions include Sigmoid, ReLU, and Tanh, each with different properties that influence training efficiency and model performance. Read the LearnC++ blog for more information.
