reservoirpy.activationsfunc.softmax

reservoirpy.activationsfunc.softmax(x: ndarray, beta: float = 1.0) → ndarray

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