reservoirpy.activationsfunc.softmax#

reservoirpy.activationsfunc.softmax(x, beta=1.0)[source]#

Softmax activation function.

\[y_k = \frac{e^{\beta x_k}}{\sum_{i=1}^{n} e^{\beta x_i}}\]
Parameters:
  • x (array) – Input array.

  • beta (float, default to 1.0) – Beta parameter of softmax.

Returns:

Activated vector.

Return type:

array