Patryk Elszkowski
de53c40578
* bulk change `type T` to `type *T*` in spec * update all `T` which referee to type to use *T* pattern * get back with `T` where T is dimension * fix *T*1 -> *T1* * Make italic types where was no formating
1.2 KiB
1.2 KiB
Mish
Versioned name: Mish-4
Category: Activation function
Short description: Mish is a Self Regularized Non-Monotonic Neural Activation Function.
Detailed description
Mish is a self regularized non-monotonic neural activation function proposed in this article.
Mish performs element-wise activation function on a given input tensor, based on the following mathematical formula:
\f[ Mish(x) = x\cdot\tanh\big(SoftPlus(x)\big) = x\cdot\tanh\big(\ln(1+e^{x})\big) \f]
Attributes: Mish operation has no attributes.
Inputs:
- 1: A tensor of type T and arbitrary shape. Required.
Outputs:
- 1: The result of element-wise Mish function applied to the input tensor. A tensor of type T and the same shape as input tensor.
Types
- T: arbitrary supported floating-point type.
Example
<layer ... type="Mish">
<input>
<port id="0">
<dim>256</dim>
<dim>56</dim>
</port>
</input>
<output>
<port id="3">
<dim>256</dim>
<dim>56</dim>
</port>
</output>
</layer>