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What is: Smish?

Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Smish is an activation function defined as f(x)=xtanh(ln(1+σ(x)))f(x)=x\cdot \text{tanh}(\ln(1+\sigma(x))) where σ(x)\sigma(x) denotes the sigmoid function. A parameterized version was also described in the form f(x)=αxtanh(ln(1+σ(βx)))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