hard_tanh

Contents

hard_tanh#

class brainpy.math.hard_tanh(x, min_val=-1.0, max_val=1.0)[source]#

Hard \(\mathrm{tanh}\) activation function.

Computes the element-wise function:

\[\begin{split}\mathrm{hard\_tanh}(x) = \begin{cases} -1, & x < -1\\ x, & -1 \le x \le 1\\ 1, & 1 < x \end{cases}\end{split}\]
Parameters:
  • x (ArrayType) – The input array.

  • min_val (float) – minimum value of the linear region range. Default: -1

  • max_val (float) – maximum value of the linear region range. Default: 1