Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

A hardware-efficient leaky rectified linear unit (ReLU) activation function with polynomial approximation and shifter implementation is proposed to facilitate the deployment of AI processors in edge ...

is now also followed by Leaky ReLU. The final `Dense` layer has ten output neurons (since `no_classes = 10`) and the activation function is Softmax, to generate the multiclass probability distribution ...