ReLU Activation

This animation illustrates the evolution of activation functions in deep learning, contrasting the vanishing gradient problem of the sigmoid with the signal-preserving power of ReLU. It further highlights AlexNet's breakthrough and introduces Leaky ReLU and GELU as solutions to ReLU's "dying neuron" limitation.