ReLU6
2000년 도입 · 논문 95편에서 사용
ReLU6 is a modification of the rectified linear unit where we limit the activation to a maximum size of $6$. This is due to increased robustness when used with low-precision computation. Image Credit: PyTorch
출처: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
소개 논문: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Activation Functions · General