Activation Functions
ReLU6
Introduced by Howard et al. in MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsReLU6 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
Source: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Papers
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Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |