An activation function is a mathematical equation that determines the output of a neural network node based on its input. It plays a crucial role in introducing non-linearity into the model, enabling the neural network to learn complex patterns and relationships in data. Different types of activation functions can significantly impact how well a neural network performs, influencing everything from convergence speed to final accuracy.
congrats on reading the definition of Activation Function. now let's actually learn it.