Hardsigmoid#
- class brainpy.dnn.Hardsigmoid(inplace=False)[source]#
Applies the Hardsigmoid function element-wise.
Hardsigmoid is defined as:
\[\begin{split}\text{Hardsigmoid}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ 1 & \text{if~} x \ge +3, \\ x / 6 + 1 / 2 & \text{otherwise} \end{cases}\end{split}\]- Parameters:
inplace (
bool
) – can optionally do the operation in-place. Default:False
- Shape:
Input: \((*)\), where \(*\) means any number of dimensions.
Output: \((*)\), same shape as the input.
Examples:
>>> import brainpy as bp >>> import brainpy.math as bm >>> m = bp.dnn.Hardsigmoid() >>> input = bm.random.randn(2) >>> output = m(input)