PolyLU: A Simple and Robust Polynomial-Based Linear Unit Activation Function for Deep Learning
Han-Shen Feng,
Cheng-Hsiung Yang
Abstract:The activation function has a critical influence on whether a convolutional neural network in deep learning can converge or not; a proper activation function not only makes the convolutional neural network converge faster but also can reduce the complexity of convolutional neural network architecture and gets the same or better performance. Many activation functions have been proposed; however, various activation functions have advantages, defects, and applicable network architectures. A new activation functio… Show more
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