Activation Functions
Smish
Smish is an activation function defined as $f(x)=x\cdot \text{tanh}(\ln(1+\sigma(x)))$ where $\sigma(x)$ denotes the sigmoid function. A parameterized version was also described in the form $f(x)=\alpha x\cdot \text{tanh}(\ln(1+\sigma(\beta x)))$.
Paper: Smish: A Novel Activation Function for Deep Learning Methods
Source: https://www.mdpi.com/2079-9292/11/4/540
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
