An activation function determines the output of a neuron given an input or set of inputs. It introduces non-linearity into neural networks, enabling them to learn complex patterns. Common examples include ReLU, Sigmoid, and Tanh.
Still doing it by hand? Describe it once and let it run.Still doing it by hand?Describe it once and let it run.
