The Rectified Linear Unit (ReLU) is a popular activation function used in artificial neural networks. It is defined mathematically as: $ [ f (x) = \max (0, x) ]$ In simpler terms, ReLU returns zero ...

In this research, the architecture of a piecewise linear (PL) activation function based Neuron Unit for Neural Network Accelerator has been proposed. The Neuron Unit is designed and simulated in CMOS ...

Many activation functions have been proposed; however, various activation functions have advantages, defects, and applicable network architectures. A new activation function called Polynomial Linear ...

In today's deep learning community, three activation functions are commonly used: the sigmoid function, the tanh function and the Rectified Linear Unit, or ReLU for short. When you're building a deep ...