Mish is an activation function for neural networks which can be defined as:

$$ f\left(x\right) = x\cdot\tanh{\text{softplus}\left(x\right)}$$

where

$$\text{softplus}\left(x\right) = \ln\left(1+e^{x}\right)$$

Source: Mish: A Self Regularized Non-Monotonic Activation Function

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