Non-linearity refers to a relationship in which changes in one variable do not result in proportional changes in another variable. In the context of activation functions and backpropagation, non-linearity is crucial because it allows neural networks to learn complex patterns and representations beyond simple linear transformations. By introducing non-linear activation functions, neural networks can approximate any function, leading to improved performance in various tasks like classification and regression.
congrats on reading the definition of Non-linearity. now let's actually learn it.