Why Activation Functions Matter in Neural Networks

A neural network without activation functions is not really deep. You can stack many layers, but without nonlinearity, the model still behaves like one big linear transformation. That is why activation functions matter. They are the reason neural networks can learn curves, boundaries, patterns, and