training
Activation Function
A mathematical function applied to the output of each neuron that introduces non-linearity into the network. Without activation functions, a neural network would be equivalent to a linear model regardless of its depth.
In practice
Common activation functions include ReLU (fast, simple), sigmoid (outputs 0-1), and tanh (outputs -1 to 1).