Activation FunctionIt is a dynamic principle, often used in neural network models, that defines how neurons change their activation values based on the activity of other neurons.

The general activation function depends on the weights in the network, which can introduce nonlinear factors and is usually used to solve problems that cannot be solved by linear equations.