Softshrink

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Softshrink#

class brainstate.nn.Softshrink(lambd=0.5)#

Applies the soft shrinkage function elementwise.

\[\begin{split}\text{SoftShrinkage}(x) = \begin{cases} x - \lambda, & \text{ if } x > \lambda \\ x + \lambda, & \text{ if } x < -\lambda \\ 0, & \text{ otherwise } \end{cases}\end{split}\]
Parameters:

  • lambd (float) – The \(\lambda\) (must be no less than zero) value for the Softshrink formulation. Default: 0.5

  • Shape

  • -----

  • Input (-)

  • Output (-)

Examples

>>> import brainstate.nn as nn
>>> import brainstate
>>> m = nn.Softshrink()
>>> x = brainstate.random.randn(2)
>>> output = m(x)
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