What is an Activation Function in Machine Learning?

An activation function in machine learning is a function that is used to introduce non-linearity into a neural network. It is used to determine the output of a node in a neural network given a set of inputs. Activation functions are used in a wide variety of machine learning models, such as deep learning, convolutional neural networks, recurrent neural networks, and more. Activation functions allow the model to learn more complex patterns in the data and make more accurate predictions. They also help prevent overfitting, as they limit the range of values that the model can output.