Activation Functions: The Spark of AI Intelligence
Definition: Mathematical functions enabling neural networks to learn nonlinear relationships between features and labels, including ReLU, sigmoid, and tanh. What Are They? In a neural network, an activation function is the mathematical “gatekeeper” at the end of a neuron. It decides whether the neuron should “fire” (activate) or not based on the input. Without them,…
